MBA in Data Science and Data Analytics aims at developing Management professionals for Data Sciences and Data Analytics stream. Students will gain analytics competencies and use hands on tools in data sciences thereby preparing them for business and techno-functional roles in data sciences and analytics projects.
Full Time Two Year residential programme
Total Seats: 60
Reservation SC: 15%, ST : 7.5%, Differently Abled : 3%
Over and Above Total Intake 2 seats for children of migrants from Jammu and Kashmir valley
15% seats for International Students
100
Semester Pattern - 4 semesters with industry internship after the first year.
Note: For more information related to MBA(DS&DA) admissions please contact:
Contact No - 020-22944140/130
Mobile -
E-mail - admission@scit.edu
PO1 | Students will be able to apply relevant Data-driven Decision-Making Skills in a given business scenario. |
PO2 | Students will identify, analyze, design, and evaluate machine learning-based models to solve complex societal, business, and industry problems. |
PO3 | Students will be able to make socially and environmentally sustainable decisions and propose solutions having national/international standards. |
PO4 | Students will be able to demonstrate professional and personal Ethics. |
PO5 | Students will communicate effectively that includes comprehension, presentation, and reporting for business activities. |
PO6 | Students will develop an aptitude for research and lifelong learning. |
PO7 | Students will apply Cognitive Thinking in designing AI-based solutions. |
PO8 | Students will apply critical thinking to identify, analyze and formulate, business problems evaluate problems, and develop solutions. |
PO9 | Students will recognize the need for innovation and entrepreneurial skills in the context of next-generation technology leading toward national development. |
PEO1 | Developed Adaptability to Technology Advancement and Changing Business Needs through Innovation. |
PEO2 | Exhibited Influential and Ethical Leadership skills in Community Development |
PEO3 | Developed Ability for Continuous Learning and Research to Sustain Individual and Organizational Goals |
PEO4 | Imbibed Graduates with Innovative and Entrepreneurial Capabilities in line with National Policies |
PEO5 | Developed Scalable and Resilient Problem-Solving Skills |
PEO6 | Lead Organizations through Knowledge Discovery |
Today Networks and IT infrastructure components are the nerves, which enable the information flow both within and outside the organizations. Progressive enterprises have always faced challenges while managing and designing IT infrastructure which will meet the business needs.
Emerging technologies such as unified communications, enterprise wide networks, and next generation intelligent network solutions are expected to be used in unison to meet the growing needs of organizations. There is certain need of professionals who will act as a catalyst in the planning, design, deployment and monitoring of such complex and large networks. This unique role demands a sound understanding of the business and technological domains.
SCIT probed this need and designed a curriculum which imparts the NITI specific management and technological know-how to the students.
Organizations use their data for decision support and to build data-intensive products and services. The collection of skills required by organizations to support these functions has been grouped under the term Data Science. Data science is the study of the generalizable extraction of knowledge from data. This specialization course will attempt to articulate the expected output of Data Scientists and then equip the students with the ability to deliver against these expectations. The holistic Data Science program designed and delivered by Symbiosis
SCIT aims to train the new generation of data-savvy professionals. This specialization program provides the participants intensive training to develop the necessary and unique set of skills required for a successful career in the world of Big Data and Business Analytics.
The curriculum caters to the various skill requirements of organizations across the world including Banks, Computer Services, Education, Healthcare, Insurance, Manufacturing, Retail and other industries. The core modules and electives taught by the subject matter experts along with hands-on exposure to the various tools like R, Hadoop, MapReduce etc. The students in this specialization course will attain an ability to provide customized solution to contemporary data problems arising in the business world.
Master of Business Administration (Data Sciences and Data Analytics) aims at developing Management professionals for Data Sciences and Data Analytics stream. The program will enable students to approach data using scientific methods. This program 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 Pattern - 4
Total Credits - 100
Generic Core Courses | |
---|---|
Course Title | Credits |
Basics of Financial Management | 2 |
Business Statistics | 2 |
Data Mining | 2 |
Data preparation and Data management | 2 |
Principles and Practices of Management | 2 |
Research Methodology | 2 |
Domain Study(Manufacturing and Logistics) | 2 |
Mathematics Foundation | 2 |
Operations Research and Optimization Techniques | 2 |
Integrated Disaster Management * | 0 |
Generic Elective Courses Group ( 3 Courses to be selected ) | |
---|---|
Course Title | Credits |
Advance Data Mining | 3 |
Cloud Computing | 3 |
Machine learning | 3 |
Text Analytics | 3 |
Generic Core Courses | |
---|---|
Course Title | Credits |
Advance data organization | 2 |
Advanced Business Statistics for Decision Making | 2 |
Data Visualization and modeling | 2 |
Essentials of Marketing Management | 2 |
Predictive Analytics | 2 |
Strategic Management | 2 |
Managerial Economicss | 2 |
Domain Study(BFSI) | 2 |
Financial Analysis | 2 |
Knowledge Graphs | 2 |
Generic Elective Courses Group ( 3 Courses to be selected ) | |
---|---|
Course Title | Credits |
Artificial Intelligence | 3 |
Natural Language Processing | 3 |
Deep learning | 3 |
Cognitive Computing | 3 |
Big Data Analysis | 3 |
Software analytics | 3 |
Marketing Analytics | 3 |
Generic Core Courses | |
---|---|
Course Title | Credits |
Summer Internship | 8 |
Data Protection and Privacy | 2 |
Design Thinking | 2 |
Entrepreneurship | 2 |
Human Resource Management | 2 |
Domain Study(Retail) | 2 |
Generic Elective Courses Group ( 3 Courses to be selected ) | |
---|---|
Course Title | Credits |
Computer Vision | 3 |
Reinforcement Learning | 3 |
Human Computer Interaction | 3 |
Flexi-Credit Course | 3 |
Generative Adversarial Networks | 3 |
Fraud Detection Analysis | 3 |
Social Media and Web Analytics | 3 |
Supply chain & operations analytics | 3 |
Flexi-Credit Course | 3 |
Insurance Analytics | 3 |
Generic Core Courses | |
---|---|
Course Title | Credits |
Corporate Governance and Ethics | 2 |
Sustainability Standards- Applications, Analysis and Reporting | 2 |
Flexi-Credit Course | 2 |
Capstone Project and Defence | 2 |
Generic Elective Courses Group ( 3 Courses to be selected ) | |
---|---|
Course Title | Credits |
Cyber Security Analytics | 3 |
IoT analytics | 3 |
Customer analytics | 3 |
Energy analytics | 3 |
Healthcare analytics | 3 |
HR Analytics | 3 |
Generic Core Courses | |
---|---|
Course Title | Credits |
Basics of Financial Management | 2 |
Business Statistics | 2 |
Data Mining | 2 |
Data preparation and Data management | 2 |
Domain Study(Manufacturing and Logistics) | 2 |
Mathematics Foundation | 2 |
Operations Research and Optimization Techniques | 2 |
Principles and Practices of Management | 2 |
Research Methodology | 2 |
Integrated Disaster Management * | 0 |
Generic Elective Courses Group ( 3 Courses to be selected ) | |
---|---|
Course Title | Credits |
Advance Data Mining | 3 |
Cloud Computing | 3 |
Machine learning | 3 |
Text Analytics | 3 |
Generic Core Courses | |
---|---|
Course Title | Credits |
Advance data organization | 2 |
Advanced Business Statistics for Decision Making | 2 |
Data Visualization and modeling | 2 |
Domain Study(BFSI) | 2 |
Essentials of Marketing Management | 2 |
Financial Analysis | 2 |
Knowledge Graphs | 2 |
Managerial Economicss | 2 |
Predictive Analytics | 2 |
Strategic Management | 2 |
Generic Elective Courses Group ( 3 Courses to be selected ) | |
---|---|
Course Title | Credits |
Artificial Intelligence | 3 |
Cognitive Computing | 3 |
Deep learning | 3 |
Natural Language Processing | 3 |
Big Data Analysis | 3 |
Marketing Analytics | 3 |
Software analytics | 3 |
Generic Core Courses | |
---|---|
Course Title | Credits |
Summer Internship | 8 |
Data Protection and Privacy | 2 |
Design Thinking | 2 |
Entrepreneurship | 2 |
Human Resource Management | 2 |
Research Publication * | 0 |
Generic Elective Courses Group ( 3 Courses to be selected ) | |
---|---|
Course Title | Credits |
Computer Vision | 3 |
Flexi-Credit Course | 3 |
Generative Adversarial Networks | 3 |
Human Computer Interaction | 3 |
Reinforcement Learning | 3 |
Flexi-Credit Course | 3 |
Fraud Detection Analysis | 3 |
Insurance Analytics | 3 |
Social Media and Web Analytics | 3 |
Supply chain & operations analytics | 3 |
Generic Core Courses | |
---|---|
Course Title | Credits |
Capstone Project and Defence | 2 |
Corporate Governance and Ethics | 2 |
Flexi-Credit Course) | 2 |
Sustainability Standards- Applications, Analysis and Reporting | 2 |
Generic Elective Courses Group ( 3 Courses to be selected ) | |
---|---|
Course Title | Credits |
Customer analytics | 3 |
Cyber Security Analytics | 3 |
Energy analytics | 3 |
Healthcare analytics | 3 |
HR Analytics | 3 |
IoT analytics | 3 |
Generic Core Courses | |
---|---|
Course Title | Credits |
Basics of Financial Management | 2 |
Business Statistics | 2 |
Data Mining | 2 |
Data preparation and Data management | 2 |
Principles and Practices of Management | 2 |
Programming for Data Sciences | 2 |
Research Methodology | 2 |
Domain Study(Manufacturing and Logistics) | 2 |
Mathematics Foundation | 2 |
Integrated Disaster Management * | 0 |
Generic Elective Courses Group ( 3 Courses to be selected ) | |
---|---|
Course Title | Credits |
Advance Data Mining | 3 |
Cloud Computing | 3 |
Machine learning | 3 |
Text Analytics | 3 |
Generic Core Courses | |
---|---|
Course Title | Credits |
Advance data organization | 2 |
Advanced Business Statistics for Decision Making | 2 |
Data Visualization and modeling | 2 |
Essentials of Marketing Management | 2 |
Predictive Analytics | 2 |
Strategic Management | 2 |
Managerial Economics | 2 |
Domain Study(BFSI) | 2 |
Financial Analysis | 2 |
Generic Elective Courses Group ( 3 Courses to be selected ) | |
---|---|
Course Title | Credits |
Deep learning | 3 |
Artificial Intelligence | 3 |
Cognitive Computing | 3 |
Big Data Analysis | 3 |
Marketing Analytics | 3 |
Software analytics | 3 |
Generic Core Courses | |
---|---|
Course Title | Credits |
Industry Internship | 10 |
Data Protection and Privacy | 2 |
Design Thinking | 2 |
Entrepreneurship | 2 |
Human Resource Management | 2 |
Domain Study(Retail) | 2 |
Research Publication * | 0 |
Generic Elective Courses Group ( 3 Courses to be selected ) | |
---|---|
Course Title | Credits |
Reinforcement Learning | 3 |
Computer Vision | 3 |
Human Computer Interaction | 3 |
Flexi-Credit Course | 3 |
Flexi-Credit Course | 3 |
Fraud Detection Analysis | 3 |
Insurance Analytics | 3 |
Social Media and Web Analytics | 3 |
Supply chain & operations analytics | 3 |
Generic Core Courses | |
---|---|
Course Title | Credits |
Corporate Governance and Ethics | 2 |
Sustainability Standards- Applications, Analysis and Reporting | 2 |
Capstone Project and Defence | 2 |
Flexi-Credit Course) | 2 |
Generic Elective Courses Group ( 3 Courses to be selected ) | |
---|---|
Course Title | Credits |
Customer analytics | 3 |
Cyber Security Analytics | 3 |
Energy analytics | 3 |
Healthcare analytics | 3 |
HR Analytics | 3 |
IoT analytics | 3 |
Total Seats: 60
Reservation SC: 15%, ST : 7.5%, Differently Abled : 3%
Over and Above Total Intake 2 seats for children of migrants from Jammu and Kashmir valley
15% seats for International Students
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.
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
Tel: +91 20 25671905
Fax: +91 20 25673854
Email: intadmissions@symbiosis.ac.in
URL: http://www.scie.ac.in
Installments for Master of Business Administration (Indian Students)(2024-2026) |
1st Year (Amount in Rs) | 2nd Year (Amount in Rs) | ||
---|---|---|---|---|
1st Installment | 2nd Installment | 3rd Installment | 4th Installment | |
Academic Fees (Per Annum) | 3,64,000 | 3,64,000 | 3,64,000 | 3,64,000 |
Institute Deposit (Refundable) | 20,000 | - | - | - |
Hostel Deposit (Refundable) | 15,000 | - | - | - |
Hostel Fees (Per Annum) | 46,500 | 46,500 | ** | - |
Mess Fees (Per Annum) | 47,250 | 47,250 | ** | - |
Installments | 4,92,750 | 4,57,750 | ||
Last Date of Payment | 25-March-2024 | 25-Nov-2024 | 25-Jun-2025 | 25-Nov-2025 |
* 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.
Installments for Master of Business Administration (Indian Students) (2023-2025) | 1st Year (Amount in Rs) | 2nd Year (Amount in Rs) | ||
---|---|---|---|---|
1st Installment | 2nd Installment | 3st Installment | 4nd Installment | |
Academic Fees (Per Annum) | 346,500 | 346,500 | 346,500 | 346,500 |
Institute Deposit (Refundable) | 20,000 | - | - | - |
Hostel Deposit (Refundable) | 15,000 | - | - | - |
Hostel Fees (Per Annum) | 42,250 | 42,250 | 46,500 | 46,500 |
Mess Fees (Per Annum) | 43,000 | 43,000 | 47,250 | 47,250 |
Installments | 4,66,750 | 4,31,750 | 346,500 | 346,500 |
Last Date of Payment | At the time of admission | 25-Nov-2023 | 25-Jun-2024 | 25-Nov-2024 |
* 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.
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.
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 :
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
SNAP and Programme Registration Begins | August 5, 2024 (Monday) |
Last date to apply for SNAP | November 22, 2024 (Friday) |
Last date to pay for SNAP | November 22, 2024 (Friday) |
SNAP Computer Base Test (CBT) | December 08, 2024 (Sunday) December 15, 2024 (Sunday) December 21, 2024 (Saturday) |
SNAP Result | January 08, 2025 (Wednesday) |
Last date of Online registration For Institute | December 20, 2024 (Friday) 23:59 hrs. |
Last Date of payment of Registration fees For Institute | December 20, 2024 (Friday) 23:59 hrs. |
Announcement of Shortlist for Group Exercise and Personal Interaction | January 21, 2025 (Tuesday) |
Online Group Exercise, Personal Interaction | February 6,7,8 & 9 & February 13, 14,15 & 16, 2025 |
Announcement of First Merit list | March 04, 2025 (Tuesday) |
Last date for payment of fees for candidates in the First Merit List | March 22, 2025 (Saturday) |
Programme Commencement | June 4, 2025 (Wednesday) |
Hostel Registration | June 02 & 03, 2025 |
Admission Cancellation and Refund Rules
Instruction Rules for remittance and Refund of fees
Click here to see refund rules
Nationalized and private banks have facilities that approve and provide educational loans for pursuing MBA (CS & DA) programmes at SCIT. SCHOLARSHIPS FOR THE A.Y. 2021-22 click here
The Selection process is carried out in two steps.
Step I: SNAP Test
Step II: Selection Process at SCIT
This process includes Group Exercise, Personal Interview (GE-PI).
Note: The final merit score will be calculated based on the following:
Parameter | Marks |
---|---|
SNAP score | 50 Marks |
Group Exercise | 10 Marks |
Personal Interview | 40 Marks * |
Total | 100 Marks |
* Personal Interview score will also include Academic Consistency (marks at 10th, 12th & Graduation level each), Under Graduation degree, Experience and Extra Curricular Achievement.
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
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:
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
Tel: +91 20 25671905
Fax: +91 20 25673854
Email: intadmissions@symbiosis.ac.in
URL: http://www.scie.ac.in
(A) PRIMARY DOCUMENTS
(B) SECONDARY DOCUMENTS
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).
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.
There is a common code of conduct for all students on the campus. The Students’ Handbook will contain the details.
On the campus all students are expected to dress decently.
This discipline is towards the total development for a healthy and happy life in a hectic and pressure-filled IT career.
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.
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.
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 Program. The Eligibility criteria for the First Year for summer internship as well as the Second Year for final placements are declared well in advance.
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.
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.
SNAP Score will be declared as a percentile to all candidates.
Applicants will be called for GE-PI purely based on SNAP percentile scores.
Written ability test will be based on current trends and latest news.
The SNAP test is similar to any other postgraduate management entrance test. The test is of an objective type. For further details, please refer to www.snaptest.org
For more details on SNAP please contact Symbiosis Test Secretariat Phone: 020-28116226 / 27 Telefax: 020-28116228 Email: info@snaptest.org Web site: www.snaptest.org
Please refer Admission Procedure on Admission Guidelines tab on the link www.scit.edu/mba-in-data-sciences-and-data-analytics to find how final merit score for MBA (DS&DA) is calculated..
SNAP Question Paper will have questions pertaining to diverse areas like Commerce, IT, Media, Science, Management, Aptitude, General Knowledge etc. for exact details visit www.snaptest.org.
Many students aspire to get into SCIT and there are thousands of aspirants who apply to SCIT. So as to fulfill their dream and only a few selected get the opportunity to join SCIT to pursue MBA (DS&DA) programme. In 2019, SNAP-2018 cut off scores for MBA (DS&DA) is 46.5 percentile.
You need to give SNAP test first and apply on-line to register for admission to SCIT. If you get the required cut off score, you would then be called for the GE-PI Process. Please refer to admissions pages of the website.
Out of 60 seats for MBA (DS&DA) 44 seats are for general category.
There are reservations for students at SCIT Reservation :SC : 15%, ST : 7.5%, Differently Abled : 3% Over and Above Total Intake children of migrants from Jammu and Kashmir valley, 15% seats for International Students.
SCIT is a constituent of Symbiosis International Deemed University established under section 3 of University Grants Commission Act, 1956 vide notification No. F.9- 12/2001-U.3 of the Government of India. and notification No. SIDU/28/131 dated 18th Dec 2006. The programmes offered by SCIT are therefore in compliance with UGC norms.
Symbiosis International (Deemed University) of which SCIT is a Constituent has been awarded Grade ‘A Plus’ by NAAC in 2009 & in 2014.
Graduates with minimum 50% marks from any recognized university are eligible to admission in SCIT's MBA-DS&DA programme. For more information on eligibility, please refer to eligibility details in admissions.
MBA (DS&DA) aims at preparing the students for business and techno-functional role therefore a blend of general and domain specific subjects is important. In MBA (DS&DA) subjects like Financial Management, Essentials of Marketing Management, Principles and practices of Management, Managerial Economics, Strategic Human Resource management and Corporate Governance and Ethics are also included in the curriculum.
MBA (ITBM) and MBA(DS&DA) are both two year full time residential courses. SNAP test is a mandate to take admission for both the courses. In MBA (ITBM) you get to choose your specialisations among any of the five choices i.e Information security management, systems, Software solutions management, IT infrastructure management, Data science. In Data Science elective we cover various subjects which include Multivariate Data Analysis, Data Management, Predictive analysis, data mining, social media analysis and a lot more, on higher level along with core management subjects. In MBA (DS&DA) students will gain analytics competencies and use hands on tools in data sciences thereby preparing them for business and techno-functional roles in data sciences and analytics projects. Core Subjects covered will include Data preparation and Data management, Network Security, Data Mining, Programming for Data Sciences, Domain Study (Manufacturing & Logistics), Strategic Management, Predictive Analytics, Advance data organization, Operation Research, Advance Statistics and a lot more. The electives will include Big data Analytics, Marketing Analytics, Advance R programming and more, focusing on in-depth knowledge and understanding of Data Science.
No, graduate from any faculty can opt for MBA(DS&DA) as long as he has taken Mathematics in 12th Standard.
To learn Data Analytics, students need to be familiar with Statistics and Algebra as they form the basics of this course.
MBA is a residential 2-year postgraduate programme. Students get to stay in Infotech Campus at Infotech Park, Phase-1, Hinjewadi, Pune, which houses a Swimming Pool, Cafeteria, Mess, Gymnasium, Health Centre, General Store and beautifully landscaped lawns. The SCIT campus provides a highly conducive and stimulating environment to all its students.
Since this is a residential programme, care is taken to provide all amenities and facilities on campus. Besides this, there are shuttle services from the campus to the city at regular intervals that carry students to and fro from early morning till late in the night. PMPML buses are also there from Infosys circle to the city
No. There is no separate specialization in MBA-DS&DA. Students are offered with flexible electives in each semester pertaining to Data Sciences and Data Analytics in different Sectors. Students will get hands on experience in different tools like Python, Hadoop, R, Tableau, IBM Watson and many more as part of the curriculum.
No certification is conducted separately, but students will learn tools such as Python, Hadoop, R, Tableau, IBM Watson etc. and will get hands on experience and projects as part of MBA (DS&DA) programme.
Go through courses offered in an elective/specialization course category. On joining the programme, SCIT will provide more information on courses and counseling sessions would take place. If you already know your choice you could start taking courses in the elective category of your choice from the first semester itself.
A core course is a mandatory course for all irrespective of the specializations. You cannot choose from among them.
You can choose from the available elective course options.
Total number of credits required for MBA is 100 credits. On an average 20 to 25 credits could be taken in one semester. Industry internship carries 10 credits which are mandatory.
Credit points determine the importance of a course in the scheme of the overall degree programme depending on its importance, complexity and depth. Total number of credits for MBA is 100. A credit point also defines the number of contact hours and the maximum number of marks assigned to a course. e.g. 1 credit course means 15 clock hours of contact sessions and 50 marks of evaluation. Similarly, 2 credits course means 30 clock hours of contact sessions and 100 marks of evaluation.
Please see the details of the fee structure on the admission pages of the website,www.scit.edu
The jobs offered won’t be restricted to the IT domain, you will find opportunities in BFSI, Manufacturing, Retail and Healthcare sectors too.
A variety of roles are offered for MBA(DS&DA) students including Data scientist, Data Architect, DS Consultant, Big Data Analysis, Business Development, Business Analytics, Market Analyst, Social Network and Sentiment Analysis, Consumer Behavior Health Sciences, Behavioral Analytics, Business Process Analysis.
Data analytics is being used not just in IT domains but other domains such as BFSI, Retail, Manufacturing and Healthcare. Due to increase in demand for skill data analysts and Data scientists many companies are looking for candidates trained in this field.
SCIT's placement record so far has been Exemplary. Our First batch of DSDA -2017-19 was placed 100%. Even during internship, our students have delivered well in revenue earning projects. Our recruiters include giants like VMware, Gartner, CITIUS Tech, Exponentia, American Express, Infosys, Gartner, SIPL and many more.
Contact No. : 020 - 22944140 / 130
Mobile : 9822651756
E-mail : MBA (DS & DA)-admission@scit.edu
Site : www.scit.edu/mba(DS&DA).php
Address : Symbiosis Centre for Information Technology (SCIT)
Plot 15, Phase-I,
Rajiv Gandhi InfoTech Park,
Hinjewadi,
Pune - 411057
Maharashtra
India.