M.B.A. (Artificial Intelligence in Business)
M.B.A. (Artificial Intelligence in Business)
Programme Objective
The MBA in AI in Business program aims to develop future-ready business leaders who can strategically leverage Artificial Intelligence to drive innovation, enhance decision-making, and create sustainable business value. The program provides a comprehensive understanding of AI technologies, business analytics, intelligent automation, and Generative AI applications across key managerial domains, including marketing, finance, human resources, operations, and digital transformation. Through experiential learning, industry engagement, and real-world business problem-solving, students will develop analytical, strategic, and leadership competencies required to design, implement, and manage AI-enabled business solutions. The program also emphasizes responsible AI adoption by fostering awareness of ethical, governance, regulatory, and societal considerations associated with the deployment of AI in contemporary organizations.
Specialization
MarTech and AI, FinTech and AI
- The MarTech and AI specialization equips students with the knowledge and skills to leverage Artificial Intelligence for transforming marketing strategy, customer engagement, and digital commerce. The specialization focuses on applying AI, Generative AI, predictive analytics, and customer intelligence to create personalized customer experiences, optimize marketing campaigns, and support data-driven decision-making.
- The FinTech and AI specialization is designed to prepare students to lead AI-enabled transformation in banking, financial services, insurance, and financial technology organizations. The specialization integrates management education with applications of Artificial Intelligence in digital banking, payments, wealth management, fraud detection, credit analytics, risk management, regulatory technology (RegTech), and financial decision support.
Programme Vision
- To nurture value-based future-ready business leaders capable of strategically leveraging Artificial Intelligence to drive innovation, enhance decision-making, and create sustainable business value analytics in a global environment
Programme Mission
- Mission 1: To develop comprehensive knowledge of management concepts and advanced analytical skills to enable AI-led decision-making for solving complex business problems.
- Mission 2: To develop collaborative, research-oriented, and innovation-driven leaders capable of leveraging AI, data, and analytics to create stewardship in dynamic business environments.
- Mission 3: To enable students to apply ethical principles and integrate global, legal, and economic perspectives for building responsible AI strategy, solutions, and models.
Duration
Full Time Two Year residential programme
Intake
Total Seats: 30
Reservation SC: 15%, ST : 7.5%, Person with Disability (PwD)-Refer-link : 3%
Over and Above Total Intake 2 seats for children of Kashmiri Migrants and Kashmiri Pandits / Kashmiri Hindu Families living in Kashmiri Valley (Non-Migrants)
25% seats for International Students
Eligibility
- Graduate from any recognised University/ Institution of National Importance with a minimum of 50% marks or equivalent grade (45% marks or equivalent grade for Scheduled Caste / Scheduled Tribes).
- Kashmiri Migrants and Kashmiri Pandits / Kashmiri Hindu Families living in Kashmiri Valley (Non-Migrants) – Attested copy of Migration cert. duly signed by Relief Commissioner / Competent Authority.
- PwD – Candidate claiming reservation under this category shall submit the certificate from Competent Authority which should clearly state that the extent of the disability is not less than 40 % & disability is permanent in nature.
Note: For more information related to M.B.A. (Artificial Intelligence in Business) admissions please contact:
Contact No - 020-22944140/130
E-mail - admission@scit.edu
M.B.A. (Artificial Intelligence in Business)
Programme Objective
- The MBA in AI in Business program aims to develop future-ready business leaders who can strategically leverage Artificial Intelligence to drive innovation, enhance decision-making, and create sustainable business value. The program provides a comprehensive understanding of AI technologies, business analytics, intelligent automation, and Generative AI applications across key managerial domains, including marketing, finance, human resources, operations, and digital transformation. Through experiential learning, industry engagement, and real-world business problem-solving, students will develop analytical, strategic, and leadership competencies required to design, implement, and manage AI-enabled business solutions. The program also emphasizes responsible AI adoption by fostering awareness of ethical, governance, regulatory, and societal considerations associated with the deployment of AI in contemporary organizations.
- The MarTech and AI specialization equips students with the knowledge and skills to leverage Artificial Intelligence for transforming marketing strategy, customer engagement, and digital commerce. The specialization focuses on applying AI, Generative AI, predictive analytics, and customer intelligence to create personalized customer experiences, optimize marketing campaigns, and support data-driven decision-making.
- The FinTech and AI specialization is designed to prepare students to lead AI-enabled transformation in banking, financial services, insurance, and financial technology organizations. The specialization integrates management education with applications of Artificial Intelligence in digital banking, payments, wealth management, fraud detection, credit analytics, risk management, regulatory technology (RegTech), and financial decision support.
Programme Pattern:
Semester - 4
Total Credits
100
Duration (In months)
24 (Full Time)
Intake
30
01
Develop AI-enabled business leaders by providing a strong foundation in Artificial Intelligence, business analytics, intelligent automation, and Generative AI to solve complex business challenges and drive organizational innovation.
02
Equip students with strategic, analytical, and leadership competencies to design, implement, and manage AI-driven solutions across key business functions, including marketing and finance through experiential learning and industry engagement.
03
Promote responsible and ethical AI adoption by developing an understanding of AI governance, regulatory frameworks, ethical considerations, and the societal implications of deploying AI in contemporary organizations.
01
Developed Adaptability to Technology Advancement and Changing Business Needs through Innovation.
02
Exhibited Influential and Ethical Leadership skills in Community Development.
03
Developed Ability for Continuous Learning and Research to Sustain Individual and Organizational Goals.
04
Imbibed Graduates with Innovative and Entrepreneurial Capabilities in line with National Policies.
05
Developed Scalable and Resilient Problem-Solving Skills.
06
Lead Organizations through Knowledge Discovery.
Graduate Attributes
Semester 1
| COURSE TITLE | CREDITS |
|---|---|
| Financial Accounting | 2 |
| Business statistics | 2 |
| Managerial Economics | 2 |
| Python Programming | 2 |
| Database Management with SQL | 2 |
| Data Preparation and Data Management | 2 |
| Artificial Intelligence and Machine Learning | 2 |
| Generative AI & Large Language Models | 2 |
| Business Process Management and Intelligence | 2 |
| Smart Marketing | 2 |
| Artificial Intelligence-enabled enterprises | 2 |
| Domani study BFSI | 1 |
| Domani study Retail | 1 |
| Research Methodology | 2 |
| Vasudhaiva Kutumbhakum | 0 |
| Total | 26 |
Semester 2
| COURSE TITLE | CREDITS |
|---|---|
| Financial Management | 2 |
| Cloud Computing and Edge Computing | 2 |
| Robotic Process Automation and Intelligent Chatbot | 1 |
| Agentic AI & Multiagent System | 2 |
| Deep Learning | 2 |
| Data Visualization and Storytelling | 2 |
| Artificial Intelligence Consulting | 2 |
| Computing Tools | 1 |
| AI Strategy & Digital Transformation | 2 |
| Flexi credits | 2 |
| Health and Wellness Module 1 | 0 |
| Total | 18 |
Specialization Electives (Any 4 Courses)
Specialization 1 Martech and AI
| COURSE TITLE | CREDITS | |
|---|---|---|
| Digital Marketing Ecosystem | 2 | |
| Consumer Behaviour in Digital Environments | 2 | |
| Marketing Analytics using AI and BI Tools | 2 | |
| Generative AI for Integrated Marketing Communications | 2 | |
| Digital Product & Platform Marketing | 2 | |
Specialization 2 Fintech and AI |
||
| Management Control Systems | 2 | |
| Financial Statement Analysis and AI | 2 | |
| RegTech and AI Compliance | 2 | |
| Digital Financial Infrastructure and Open Finance | 2 | |
| Financial Analytics | 2 | |
| Total | 8 | |
Semester 3
| COURSE TITLE | CREDITS |
|---|---|
| AI in Supply Chain | 1 |
| Design Thinking for AI Innovation | 2 |
| AI Governance | 2 |
| AI Product Management and Innovation | 2 |
| Flexi Credits | 2 |
| Artificial Intelligence and Workplace Dynamics | 2 |
| Decision-making under Uncertainty | 1 |
| B2B Marketing | 1 |
| Summer Internship | 8 |
| Health and Wellness Module 2 | 0 |
| Total | 21 |
Specialization Electives (Any 4 Courses)
Specialization 1 Martech and AI
| COURSE TITLE | CREDITS |
|---|---|
| Strategic Brand Management | 2 |
| Neuromarketing and Behavioral Technologies | 2 |
| Sales and Distribution Management | 2 |
| Content Marketing and Storytelling | 2 |
| AI-Driven Social Media and Influencer Analytics | 2 |
Specialization 2 Fintech and AI |
|
| Valuation -Mergers and Acquisitions | 2 |
| Green Finance | 2 |
| AI in Insurance and InsurTech | 2 |
| International trade and forex | 2 |
| Behavioural Finance | 2 |
| Total | 8 |
Semester 4
| COURSE TITLE | CREDITS |
|---|---|
| Sustainable Business ESG Reporting | 2 |
| AI Entrepreneurship and Innovation | 1 |
| Legal Aspects in Business | 2 |
| AI Transformation Capstone Project | 2 |
| Human Capital Strategy | 2 |
| Dissertation | 2 |
| Total | 11 |
Specialization Electives (Choose any Four courses)
Specialization 1 Martech and AI
| COURSE TITLE | CREDITS |
|---|---|
| Customer Analytics and Predictive Modelling | 2 |
| AI-enabled CRM and Customer Experience Platforms | 2 |
| Omnichannel Marketing Strategy | 2 |
| Responsible Consumer Data Management | 2 |
| Retail Tech and Intelligent Commerce | 2 |
Specialization 2: Fintech and AI |
|
| Fraud Analytics and Financial Crime Prevention | 2 |
| FinTech Risk Management | 2 |
| Time Series Analysis | 2 |
| AI-powered portfolio and Investment Management | 2 |
| AI in Financial Services Marketing | 2 |
| Total | 8 |
Programme Objective
Master of Business Administration (Data Sciences and Data Analytics) aims at developing Management professionals for Data Sciences and Data Analytics stream. The programme will enable students to approach data using scientific methods. This programme will develop the ability to think about the real problems that need to be solved, not to simply find technical solutions. Students will learn the theory behind the tools, which in turn will make you a more versatile data scientist.
Data Sciences and Data Analytics will enable the candidates gain analytics competencies and hands on the tools used in data sciences thereby preparing them for business and techno-functional roles in data sciences and analytics projects.
Programme Pattern:
Semester - 4
Duration (In months)
24 (Full Time)
Intake
60
01
Students will be able to apply relevant Data-driven Decision-Making Skills in a given business scenario.
02
Students will identify, analyze, design, and evaluate machine learning-based models to solve complex societal, business, and industry problems.
03
Students will be able to make socially and environmentally sustainable decisions and propose solutions having national/international standards.
04
Students will be able to demonstrate professional and personal Ethics.
05
Students will communicate effectively that includes comprehension, presentation, and reporting for business activities.
06
Students will communicate effectively that includes comprehension, presentation, and reporting for business activities.
07
Students will apply Cognitive Thinking in designing AI-based solutions.
08
Students will apply critical thinking to identify, analyze and formulate, business problems evaluate problems, and develop solutions.
09
Students will recognize the need for innovation and entrepreneurial skills in the context of next-generation technology leading toward national development.
01
Developed Adaptability to Technology Advancement and Changing Business Needs through Innovation.
02
Exhibited Influential and Ethical Leadership skills in Community Development.
03
Developed Ability for Continuous Learning and Research to Sustain Individual and Organizational Goals.
04
Imbibed Graduates with Innovative and Entrepreneurial Capabilities in line with National Policies.
05
Developed Scalable and Resilient Problem-Solving Skills.
06
Lead Organizations through Knowledge Discovery.
Graduate Attributes
Semester 1
| CATALOG COURSE CODE | COURSE CODE | COURSE TITLE | CREDITS |
|---|---|---|---|
| T2778 | 0302420101 | Basics of Financial Management | 2 |
| T2216 | 0302420102 | Business Statistics | 2 |
| T2560 | 0302420103 | Principles and Practices of Management | 2 |
| T2225 | 0302420104 | Research Methodology | 2 |
| T3436 | 0302420105 | Domain Study(Manufacturing and Logistics) | 2 |
| T3637 | 0302420106 | Mathematics Foundation | 2 |
| T3822 | 0302420107 | Python Programming | 2 |
| T3821 | 0302420108 | Introduction to DBMS and SQL Programming | 2 |
| T3797 | 0302420109 | Data preparation and Data management | 2 |
| Total | 18 | ||
Open Elective Course Group (Choose any three courses)
| CATALOG COURSE CODE | COURSE CODE | COURSE TITLE | CREDITS |
|---|---|---|---|
| T3826 | 0302420110 | AI Powered Developer Platforms and Tools | 3 |
| T3828 | 0302420111 | Cloud Computing | 3 |
| T3795 | 0302420112 | Machine learning | 3 |
| T3448 | 0302420113 | Text Analytics | 3 |
| Total | 9 | ||
Semester 2
| CATALOG COURSE CODE | COURSE CODE | COURSE TITLE | CREDITS |
|---|---|---|---|
| T3450 | 0302420201 | Advance data organization | 2 |
| T2114 | 0302420202 | Essentials of Marketing Management | 2 |
| T2253 | 0302420203 | Strategic Management | 2 |
| T6075 | 0302420204 | Managerial Economics | 2 |
| T3437 | 0302420205 | Domain Study(BFSI) | 2 |
| T3718 | 0302420206 | Knowledge Graphs | 2 |
| T3824 | 0302420207 | Time Series Data, Analysis and Databases | 2 |
| T3819 | 0302420208 | Responsible and Explainable AI | 2 |
| T3799 | 0302420209 | Data Visualization and Storytelling | 2 |
| T3798 | 0302420210 | Operations Research and Optimization Techniques | 2 |
| TH4788 | Health and Wellness Module I # | 0 | |
| Total | 20 | ||
Open Elective Course Group (Choose any three courses)
| CATALOG COURSE CODE | COURSE CODE | COURSE TITLE | CREDITS |
|---|---|---|---|
| T3562 | 0302420211 | Cognitive Computing | 3 |
| T3816 | 0302420212 | Deep learning | 3 |
| T3796 | 0302420213 | Natural Language Processing and Large Language Models | 3 |
| T3820 | 0302420214 | Financial Analytics | 3 |
| T3309 | 0302420215 | Big Data Analytics | 3 |
| T3454 | 0302420216 | Software analytics | 3 |
| T3559 | 0302420217 | Marketing Analytics | 3 |
| T3817 | 0302420218 | Recommender Systems | 3 |
| Total | 9 | ||
Semester 3
| CATALOG COURSE CODE | COURSE CODE | COURSE TITLE | CREDITS |
|---|---|---|---|
| T3908 | 0302420301 | Summer Internship | 8 |
| T3455 | 0302420302 | Data Protection and Privacy | 2 |
| T2658 | 0302420303 | Design Thinking | 2 |
| T2353 | 0302420304 | Entrepreneurship | 2 |
| T2572 | 0302420305 | Human Resource Management | 2 |
| T3435 | 0302420306 | Domain Study(Retail) | 2 |
| TH4789 | Health and Wellness Module II # | 0 | |
| SMC003 | 0302420307 | Health and Wellness * | 0 |
| Total | 18 | ||
Open Elective Course Group (Choose any three courses)
| CATALOG COURSE CODE | COURSE CODE | COURSE TITLE | CREDITS |
|---|---|---|---|
| T3558 | 0302420308 | Reinforcement Learning | 3 |
| T3561 | 0302420309 | Human Computer Interaction | 3 |
| F0003 | 0302420310 | Project Management | 3 |
| T3716 | 0302420311 | Generative Adversarial Networks | 3 |
| T3800 | 0302420312 | Computer Vision | 3 |
| T3833 | 0302420313 | Social Media and Web Analytics | 3 |
| T3457 | 0302420314 | Fraud Detection Analytics | 3 |
| T3459 | 0302420315 | Insurance Analytics | 3 |
| T3460 | 0302420316 | Supply chain and operations analytics | 3 |
| F0003 | 0302420317 | Data Analytics | 3 |
| Total | 9 | ||
Semester 4
| CATALOG COURSE CODE | COURSE CODE | COURSE TITLE | CREDITS |
|---|---|---|---|
| T2236 | 0302420401 | Corporate Governance and Ethics | 2 |
| T2416 | 0302420402 | Sustainability Standards - Application, Analysis and Reporting | 2 |
| F0002 | 0302420403 | Flexi-Credit Course | 2 |
| T3702 | 0302420404 | Dissertation | 2 |
| SMC001 | 0302420405 | Vasudhaiva Kutumbakam * | 0 |
| Total | 8 | ||
Open Elective Course Group (Choose any three courses)
| CATALOG COURSE CODE | COURSE CODE | COURSE TITLE | CREDITS |
|---|---|---|---|
| T3458 | 0302420406 | Healthcare analytics | 3 |
| T3464 | 0302420407 | HR Analytics | 3 |
| T3462 | 0302420408 | Cyber Security Analytics | 3 |
| T3461 | 0302420409 | IoT analytics | 3 |
| T3456 | 0302420410 | Customer analytics | 3 |
| T3463 | 0302420411 | Energy analytics | 3 |
| T3825 | 0302420412 | Designing Data Lake and Governance | 3 |
| T3818 | 0302420413 | Machine Learning Operations(MLOps) | 3 |
| Total | 9 | ||
A.Y. M.B.A. 2025
Annual Calendar
Eligibility
- Graduate from any recognized University/ Institution of National Importance with a minimum of 50% marks or equivalent grade (45% marks or equivalent grade for Scheduled Caste/ Scheduled Tribes).
Duration
Full Time Two Year residential programme
Intake
Total Seats: 30
Over and Above Total Intake
Over and Above Total Intake 2 seats for children of Kashmiri Migrants and Kashmiri Pandits / Kashmiri Hindu Families living in Kashmiri Valley (Non-Migrants)
25% seats for International Students
Fee Structure - M.B.A. (Artificial Intelligence in Business) - Tentative
| Installments for Master of Business Administration (Indian Students) (2027–2029) | 1st Year (Amount in Rs) | 2nd Year (Amount in Rs) | ||
|---|---|---|---|---|
| 1st Installment | 2nd Installment | 3rd Installment | 4th Installment | |
| Academic Fees | 4,50,000 | 4,50,000 | 4,50,000 | 4,50,000 |
| Institute Deposit (Refundable) | 20,000 | - | - | - |
| Total Fees | 4,70,000 | 4,50,000 | 4,50,000 | 4,50,000 |
| Last Date for payment of Fees | At the time of Admission | 25-Nov-2026 | 25-Jun-2027 | 25-Nov-2027 |
* Hostel and Mess Fess can be increased up to 10% each year. Government taxes would be additional as and when applicable.
** Hostel and Mess fees for the subsequent year would be communicated before commencement of the next academic year.
Payment
Fees are to be paid twice, at the time of Admission and November after the admission. The fees may be revised marginally for the next year according to costs & expenses involving inflation and additional academic and other facilities etc.
Mode of Payment
Any payment should be made through a crossed demand draft in favour of "Symbiosis Centre for Information Technology" and payable at Pune OR By Net banking using RTGS mode of payment :
Important Note
After making payment you have to update payment details before last date of payment in the SIU Finance Portal immediately. (http://siufinance.ishinfo.com/StudentAdmission)
CASH PAYMENT IS NOT ACCEPTED
Admission Calendar
Rules for Refund of Fees
Admission Cancellation and Refund Rules
- Please note that your application for refund of fees will be considered after your payment towards first installment is authenticated by the institute and your provisional admission is confirmed.
- Click on Apply for Cancellation of Admission tab in the http://siufinance.ishinfo.com/StudentAdmission
- Ensure that Bank details are correctly entered and click on "Submit".
- On submitting the cancellation form, OTP will be sent to your registered Mobile number and Email Id. Provide the OTP in the corresponding OTP text and click on "Confirm" button. Once you click on "Confirm" button, your application of cancellation will be submitted to the Institute.
- In case of any change in the registered Mobile number or Email ID, please contact Institute before submitting the form. Please note that unless the OTP is submitted and confirmation is done, your application for cancellation will not be submitted.
- Fees will be refunded Online as per the bank details entered, within 15 days from the submission of your application.
- Amount of fees refunded will be as per Rules.
Scholarships – SCIT
Scholarship Policy
With the objective of encouraging meritorious students and promoting academic excellence, scholarships/awards are offered to deserving students of Symbiosis Centre for Information Technology (SCIT) under the scholarship schemes of Symbiosis International (Deemed University) [SIU] and Symbiosis Society Foundation.
Merit Scholarship for Academic Excellence at SCIT
The Scheme
Merit Scholarship for Semester Toppers – Post Graduate Programmes
Applicability and Commencement
This scholarship is applicable to:
- Both the M.B.A programmes at SCIT, which follow the semester pattern.
- A student can avail only one SIU scholarship per semester.
Awarded To
The scholarship will be awarded to:
- The first four semester toppers in the order of merit (CGPA) from every batch of each programme at SCIT under SIU.
Nature of the Scholarship
The first four toppers in the order of merit (CGPA) of every batch and programme in each semester will be awarded the Merit Scholarship as follows:
- 1st Topper – 20% concession in Academic Fees
- 2nd Topper – 15% concession in Academic Fees
- 3rd Topper – 10% concession in Academic Fees
- 4th Topper – 5% concession in Academic Fees
The scholarship amount will not be paid directly to the students. The University will transfer the scholarship amount directly to the institute for adjustment against the academic fees of the following semester.
In case a student secures the scholarship in the final semester of the programme, the scholarship amount will be transferred directly to the student’s bank account as per the available records.
For more details regarding SIU Scholarships and other scholarship schemes, please visit:
SIU Scholarship Details
Financials & Scholarships
How to Apply
Selection Process
The Selection process is carried out in two steps.
- Each student desirous of admission to SCIT must appear for Symbiosis National Aptitude (SNAP) Test 2026, which is a common written test for the admission to all Symbiosis postgraduate institutes.
- The applicant must register and pay online for ONLINE SNAP (Symbiosis National Aptitude Test) Examination, 2026. ONLINE SNAP 2026 test fee is INR 2550/- (+ applicable Payment gateway charges, GST and any other taxes). This is not refundable. For more details please visit: https://www.snaptest.org/
- While registering for SNAP, applicant has to also apply for SCIT in the same application form. A registration fee of Rs. 1000/- (+ applicable Payment Gateway Charges, GST and any other taxes) per programme is to be paid to SCIT for each programme that the aspirant wishes to apply. This is mandatory, without which the applicant will not be considered for short-listing for the GE (Group Exercise) PI (Personal Interview) process for the respective programme(s).
- Preserve the Admit Card of SNAP Test 2026 for further selection process at SCIT. Appearing for SNAP Test does not automatically qualify an applicant for the next step in selection process at SCIT.
- Short-listed Applicants based on SNAP scores will be called for the selection process at SCIT, Pune. Short listed candidates are announced on SCIT website www.scit.edu as per the scheduled dates. Shortlisted candidates must fill the Application Form and book the slot for GE-PI. Individual regret letters will not be sent to applicants who are not called for GE-PI. The entire process will be online.
This process includes Group Exercise, Personal Interview (GE-PI).
Note: The final merit score will be calculated based on the following
* Personal Interview score will also include Academic Consistency (marks at 10th, 12th & Graduation level each), Undergraduate degree, Work Experience, and Extra-Curricular Achievements.
- In all correspondence with SCIT, candidates must mention their SNAP ID, SCIT Application Number, eligible name, email id, contact telephone number (with STD code) if applicable and address with PIN Code.
- Applicants are advised to refer to our website for updated information. No separate communication will be sent.
- Authorised SNAP Admit Card must be produced for appearing in the selection process.
- Short-listed candidates for Step II (GE-PI) will be announced on SCIT web site www.scit.edu as per the schedule published
- Merit list will be published on the SCIT website www.scit.edu as per the schedule published
- All enquiries related to admission can be made to admission@scit.edu
Admissions of all International students are through Symbiosis Centre For International Education (SCIE).
SYMBIOSIS CENTRE FOR INTERNATIONAL EDUCATION (SCIE)
The Symbiosis Centre for International Education (SCIE) is a department of Symbiosis International University, providing leadership & support for the University's efforts to internationalize the campus and the curriculum.
At Symbiosis, not only are 75 countries represented in the student community, but there is also an emphasis on internationalizing the curricula. Students and faculty are repeatedly provided with opportunities to pursue their international academic interests to the fullest, be it through academic exchanges or exposure to international conferences, seminars, workshops, etc.
Internationalization at Symbiosis works on multiple tracks, hence, the two divisions in the Symbiosis Centre for International Education include:
- International Students Admissions, Events & Support Services
- International Initiatives & Collaborations
International Students Admissions, Events & Support Services
The International Students Admissions at Symbiosis Centre for International Education is designed taking into consideration the requirements and difficulties faced by International Students. The admissions are centralized for all the constituent institutes of Symbiosis International University and routed through Symbiosis Centre for International Education (SCIE). The online admission procedure has made it accessible to each and every student from different parts of the world and in the comfort of their homes.
To check if you are an international student, please refer to the categories listed.
Categories under International Students Admissions:
- Foreign National (FN) A student is eligible to apply as a Foreign National (FN) if he/she holds a foreign passport.
- Person of Indian Origin (PIO) A student is eligible to apply as a Person of Indian Origin (PIO) if he/she has a PIO card, and is a citizen of a country other than India.
- Non Resident Indian (NRI).
- At the Undergraduate Level: A student is eligible to apply as a Non Resident Indian (NRI) if he/she has appeared either for the 10 or 10+2 (equivalent to the Indian 10th & 12th) examination outside India.
* It is mandatory for the Student who fall in the NRI Category and have appeared for 12th in India to appear for the SET TEST.
- At the Postgraduate Level: A student is eligible to apply as a Non Resident Indian (NRI) if he/she has appeared either for the 10+2 examination (equivalent to the Indian 12th) or Graduation outside India. It is mandatory for one of the two qualifying examinations to be given outside India.
* It is mandatory for Postgraduate Students, who fall in the NRI Category and have appeared for their graduation in India, to appear for the SNAP TEST.
- At the Undergraduate Level: A student is eligible to apply as a Non Resident Indian (NRI) if he/she has appeared either for the 10 or 10+2 (equivalent to the Indian 10th & 12th) examination outside India.
If you fall into any of these categories and wish to apply to Symbiosis Institute, Kindly contact:
Symbiosis Centre for International Education
Symbiosis Society Senapati Bapat Road Pune 411 004 Maharashtra, India
Admission Confirmation Procedure
- Symbiosis Centre for Information Technology (SCIT) / Symbiosis International (Deemed University) (SIU) will announce the selection results for admission at Pune and also on institute’s website www.scit.edu as per the schedule in the admission calendar. Those who are offered admissions, must confirm their admission by paying the first instalment fees by the due date given, otherwise the seat will be made open for the next rank.
- At the time of joining SCIT, they must submit the following documents:
Important
- It is the responsibility of the candidates to ascertain whether they possess the requisite qualifications for admission. Having been admitted provisionally, does not mean acceptance of eligibility.
- Final eligibility for admission will be decided by SIU.
- Care should be taken to write the address and Email ID correctly and legibly in all communications.
- All those who are admitted must attend the opening session. In case of the absence on the opening day or if a student does not attend the academic session after attending the opening session for two continuous weeks without prior permission of Director, SCIT, his/her admission will stand cancelled.
- In the event , SCIT will automatically assume that the candidate does not intend to be admitted to the relevant programme and SCIT is therefore free to admit the next student in the merit list in his/her place.
- Candidate should complete Hostel Registration prior to the opening session.
- Two stamp size colour photographs.
- Self-attested copies marks sheets/passing certificate of class 12th.
- Self-attested copies of certificate of passing of the qualifying examination and statement of marks from college/institution/university. Candidates whose results are not declared, they should submit a certificate from concerned college/institution/university of having appeared in the qualifying examination, whose results have not been declared till the date of admission. (The final marks sheets/pass certificate shall be submitted by such candidates on or before 31st September 2024, in order to eligible for admission in Symbiosis International (Deemed University).
- Requisite Caste/Category certificates issued by competent authority of respective state/central governments, in case students belongs to the category of Scheduled Castes (SC), Scheduled Tribes (ST), Differently Abled (DA), Jammu and Kashmir (J&K) Migrants or Dependents of Defence Personnel. (In case of Differently Abled candidates, the minimum disability should be 40%, in order to be eligible under this category).If the Caste / Category Certificate is in Vernacular language, English translated & notarized copy also be submitted.
- Self-attested copy of certificate for change of name or Gazette, if applicable.
- Candidates who have completed last qualifying examination from any University other than SIU they shall submit Original Migration Certificate in June. Those who have appeared for last semester of qualifying examination shall have to submit Original Migration certificate on or before December.
- Candidates who have completed /appeared in last qualifying examination from any Constituent Institution/Department of SIU shall submit Original Transfer Certificate. They are not required to submit Migration Certificate.
- Equivalence certificate (in case, candidate completed qualifying examination from a Foreign University/Board) issued by Association of Indian Universities/ Statutory Councils (whichever is applicable).
- Self-attested experience certificate/gap certificate, if applicable
- Self-attested certificate of registration issued by respective council (e.g. Medical Council, Dental Council, Nursing Council etc.), if applicable
- Application for Provisional Admission.
- Medical Undertaking.
- Indemnification Undertaking by the Student.
- Indemnification Undertaking by the Parent.
- Anti-Ragging Affidavit by the Student.
- Anti-Ragging Affidavit by the Parent.
- Following documents as Photo Identity Proof:-
- Self-attested copy of Driving License/ Aadhar Card/ PAN Card/ Passport or any other such document as proof of Identity issued by the Government Authority.
- Duly Stamped / signed SNAP Admit card, GEPI Admit card
Secondary documents are available on the Finance Portal and duly signed, original documents should be submitted in the institute.
All admissions are provisional and students need to apply for getting final eligibility certificate from the Symbiosis International (Deemed University).
Guidelines & Rules
The Students’ Handbook will be provided by the institute to each student on joining SCIT which contains the detailed rules & regulations. However they are described here briefly.
Programme Structure
The programme structures printed in the SIU prospectus related to SCIT programme are subject to change to incorporate any updates.
Attendance
Students should ensure that the attendance in the academic sessions and non-academic sessions like seminars, guest lectures, holistic health sessions etc. is above 75%. The students not complying with these norms will be disallowed from taking examinations.
Examination Rules & Guidelines
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SIDU Rules
All Exam Rules & guidelines announced by SIDU from time to time are applicable SCIT programmes. -
SIU Grading Policy
SCIT follows semester pattern with four semesters over a period of two years. The SIDU Grading Policy is applicable for evaluation at SCIT. It uses a system of grade points to judge the student’s overall performance on 4-point scale. The student is awarded letter grades A+, A, A-, B+, B, B-, C+, C, C-, D+, D, D- & F for each course depending on the relative performance of the student in the class. Cumulative Grade Point Average (CGPA) indicates the overall performance of the student in the M.B.A. programme. -
SIDU Grading Policy
At SCIT each course has internal & external evaluation components. External evaluation will be conducted by SIU through a semester-end exam. -
Standard of passing
A student has to pass both internal & external exam separately. A student must obtain a minimum of 2.0 CGPA to be eligible to get the degree. It is recommended that a student should not have backlogs as far as possible and maintain at least 2.0 CGPA in all semesters to avoid large academic load in subsequent semesters. Students are required to read thoroughly the eligibility & examinations rules on joining the course.
There is a common code of conduct for all students on the campus. The Students’ Handbook will contain the details.
Dress Code
On the campus all students are expected to dress decently.
- Girls
- Boys
- For Yoga/Workout etc.
- Dress/ Sarees
- Blue Blazers, Grey Trousers, White Shirt & Tie
- Track suits & ’T’ shirts
Hostel Rules in Brief
- Campus is fully residential. All students must stay on the campus. Mess will serve only vegetarian food. Cafeteria will have vegetarian snacks.
- Smoking, drinking, drugs etc. are prohibited. Possession of cigarettes and things like liquor, drugs etc. on the campus is strictly prohibited. Entry into the campus on consumption of liquor, drugs etc. is also strictly prohibited.
- Entry of girls into boys hostel and boys into girls hostel is prohibited.
- Campus gates will be closed at 10.30 p.m. All students have to attend the night roll call at the hostels at 10:30pm. Night-outs are not allowed. Lights-out period will be from 12.00 midnight to 5.30 a.m. for students to sleep.
- Automated vehicles -- two wheelers, three wheelers, or four wheelers are not allowed on the campus and should not be brought. This measure is to avoid wasteful expense on fuel, time wastages and to avoid pollution and promote healthy habits and more time for learning.
This discipline is towards the total development for a healthy and happy life in a hectic and pressure-filled IT career.
Fitness
It is important that no medical history especially psychosomatic is hidden from the institute. Candidates with epilepsy or depressive tendencies, which may aggravate due to academic and time pressures, are advised not to take admission. One is expected to be medically fit for Workouts, Yoga, Pranayam, Meditation and Mind Management Techniques.
Medical Insurance
Each student is insured by way of a unique, insurance policy under the Mediclaim & Road Traffic Accident Policy. A copy of the policy document is available with the Admin Officer For further details regarding the benefits of the policy, the student should contact Symbiosis Centre for Health Care. The centre thus provides preventive, promotional as well as curative health care services with a view to ensure Positive Health in all members of the Symbiosis Family.
Placement
Students are expected to participate in all sessions, workshops, seminars etc. in the first and second year. Those students who fulfill the eligibility criteria as laid down are permitted to participate in the Campus Recruitment programme. The Eligibility criteria for the First Year for summer internship as well as the Second Year for final placements are declared well in advance.
Discipline & Code of Conduct
We value self-discipline and do not believe in policing. We have a lot of trust and faith in students. We want students to live up to that trust and follow discipline, code of conduct, rules or instructions. Any behavior unbecoming of that will invite strict disciplinary action including heavy fines, debarring from tests/examination, etc. or termination of studentship if counseling and caution fails. Damage to equipment and fixtures anywhere on the campus will cost heavy fines besides a disciplinary action. Students are to abide by the Code of Conduct of Symbiosis International Deemed University (SIDU) a copy of which will be given at the time of joining SCIT. Students are advised to read the same fully. SCIT Disciplinary Committee's decision is final and binding on the student.
Student's admission will be cancelled if it is found that the admission is taken by resorting to the fraudulent means and illegal gratification for the admission.
Ragging in any form is banned on the campus. Anyone found indulging directly or indirectly in ragging will be punished appropriately, which may include expulsion from the institute.
Legal Jurisdiction
All disputes pertaining to application and admission to the institute shall fall within the jurisdiction of Pune (Maharashtra) only. All disputes will be settled & resolved by arbitration.
International Students Admissions, Events & Support Services
The International Students Admissions at Symbiosis Centre for International Education is designed taking into consideration the requirements and difficulties faced by International Students. The admissions are centralized for all the constituent institutes of Symbiosis International University and routed through Symbiosis Centre for International Education (SCIE). The online admission procedure has made it accessible to each and every student from different parts of the world and in the comfort of their homes.
To check if you are an international student, please refer to the categories listed.
Categories under International Students Admissions:
- Foreign National (FN) A student is eligible to apply as a Foreign National (FN) if he/she holds a foreign passport.
- Person of Indian Origin (PIO) A student is eligible to apply as a Person of Indian Origin (PIO) if he/she has a PIO card, and is a citizen of a country other than India.
Non Resident Indian (NRI):
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At the Undergraduate Level:
A student is eligible to apply as a Non Resident Indian (NRI) if he/she has appeared either for the 10 or 10+2 (equivalent to the Indian 10th & 12th) examination outside India. * It is mandatory for the Student who fall in the NRI Category and have appeared for 12th in India to appear for the SET TEST.
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At the Postgraduate Level:
A student is eligible to apply as a Non Resident Indian (NRI) if he/she has appeared either for the 10+2 examination (equivalent to the Indian 12th) or Graduation outside India. It is mandatory for one of the two qualifying examinations to be given outside India. * It is mandatory for Postgraduate Students, who fall in the NRI Category and have appeared for their graduation in India, to appear for the SNAP TEST.
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If you fall into any of these categories and wish to apply to Symbiosis Institute, Kindly contact:
Symbiosis Centre for International Education
Symbiosis Society Senapati Bapat Road Pune 411 004 Maharashtra, India
M.B.A. (Artificial Intelligence in Business) Merit List
INSTRUCTIONS
The students who paid the fees for M.B.A. (Information Technology Business Management) / M.B.A. (Data Sciences and Data Analytics) / M.B.A. (Artificial Intelligence in Business) Programmes shall upload the following original scanned documents in the eligibility portal & fill in all the details correctly in the provided form: -
- Photograph of the student – file size should be less than 1MB
- Aadhar card (Both sides/full)
- Photo identity proof (PAN, Voter ID, Passport, Driving License or any other government issued document)
- SNAP Test Admit Card (Original – which is stamped at the testing Centre)
- SNAP Test Score Card
- GEPI Admit Card (Duly affixed photograph and signed by the student)
- Class 12 Marks List.
- All mark sheets of graduation - Semesterwise / yearwise in the respective tabs. If anyone had backlog of any semester has to upload backlog and backlog clear both the marksheets in one PDF.
- TC/LC (Original - those who have completed Graduation.)
- Migration Certificate / Having Applied for Migration Cert. (Original - those who have completed Graduation.)
- Gap (Gap/work experience covering the period from the date of completion of the graduation till joining the M.B.A. in SCIT)
- Provisional passing certificate
- Degree Certificate.
- Certificate of equivalence from the competent authority (if the student passed the graduation from any foreign university).
- Proof for change of name, if any
- Caste Certificate - (In case the certificate is in vernacular language, other than English, translate the same into English and get it notarized), upload both documents together in the portal. For students from Maharashtra, need to upload both Caste and Caste Validity Certificates together.
- Category Certificate:
- Kashmiri Migrants (KM) – Attested copy of Migration cert. duly signed by Relief Commissioner / Competent Authority.
- Person with Disability – Candidate claiming reservation under this category shall submit the certificate from Competent Authority which should clearly state that the extent of the disability is not less than 40 % & disability is permanent in nature.
- Defence Category certificate Format
- Anti-Ragging Affidavit (Student & Parent) – Register on the website www.antiragging.in and upload the confirmation email.
- Indemnification undertaking (Parent & Student) - should be printed on plain white paper.
- SIU Eligibility Form – (Print on Rs.500/- Non-Judicial Stamp Paper, signed & get it notarized before uploading)
- Medical Undertaking should be printed on plain white paper.
As per mandate from the Ministry of Education and University Grants Commission, it is essential for each student to register and generate her/ his own Academic Bank of Credits (ABC) ID. Please refer to the following to create your ABC ID:
