University Affiliation

University of Mumbai                                               

Duration of Program

2 Years Full Time                                                

Important Dates

Last Date to Apply : As per University Schedule

About Programme

Master of Science in Data Science (M.Sc. DS) is a two-year post-graduate programme dedicated to provide the required set of skills useful for data analysis. Data Science is an interdisciplinary field that cartel the concept of programming, mathematics and business together. Combined with Artificial Intelligence and Machine Learning, it helps to identify a future trend which can be used to derive actionable insights for creating future impact. It also includes the emerging topics such as Big Data Analytics, Neural Networks, Data Visualization, and Data Modeling to deal with vast data from various business domains. These skills will help learner prepare for the role of a Data Scientist. As a Data Science aspirant, student will be emphasizing of the knowledge to share from the quantitative analysis to programming concept and extended to business intelligence. Data science can add value to any business which can use the data well.

Why this Programme

For decades, technological advances were mostly driven by improved hardware: Processing power increased and led to more possibilities. Now that conventional hardware is pushing physical limitations, the focus has been shifting to software-driven applications.

Data has been called “the oil of the digital economy” (Wired) because of its immense potential; Data analysis enable completely new generations of technological solutions: Machine learning and artificial intelligence (AI) is one example where we see great changes already happening. But in other areas, advanced statistics drive new developments: For instance, data on user behaviour and predictive analytics help companies improve the user interfaces (UI) of their software products; and detailed performance analysis help businesses track the return-on-investment (ROI) of their marketing campaigns. Data and information have become the key resources in a wide range of industries. With the increase of computing power and digital storage come many new possibilities that – just ten to fifteen years ago – were beyond our imagination.Data experts are needed in banking and finance, automotive, energy, healthcare, transport, retail, and virtually every domain you can think of. And because data drives decisions – from small regional offices to the boardroom – graduates from study programmes in Data Science will be directly involved in important strategic decision-making processes. If you are a specialist who knows how to “crunch the numbers”, you will be a valuable team member in many parts of an organisation.

PEO1: Facilitate value-based holistic and comprehensive learning by integrating traditional and innovative learning practices to match the highest quality standards and train students to be effective leaders in their chosen fields and career.
PEO2: Provide a conducive environment to unleash their hidden talents, creative potential, nurture the spirit of critical thinking and encourage them towards higher education so as to cater the needs of the industry/society and contribute for the development of the nation.
PEO3: Equip students with skills needed to adapt better to ever changing global scenarios by encouraging innovative practices, research competence and entrepreneurial skills and gain access to career opportunities in multidisciplinary domains.
PEO4: Develop a sense of social responsibility, ethics and equity to transform students into commitment-oriented professionals having strong attitude towards sustainable development for betterment of society.

 A graduate with a M.Sc. in Data Science will have the ability to
PSO1. Demonstrate mastery of Data Science in the following core knowledge areas:
• Communicate data science concepts, research, designs, and solutions effectively and professionally
• Statistics, Programming Languages
• Databases, Big data, and cloud computing
• Artificial Intelligence, Machine Learning, Deep Learning, Data Visualization
PSO2. Apply knowledge of computing to produce effective designs and solutions for specific problems
PSO3. Use software development tools, software systems, and modern computing platforms

Job opportunities after M.Sc Data Science:

  • Data Scientist
  • Data Architect
  • Data Administrator
  • Data Analyst
  • Business Analyst
  • Data/Analytics Manager
  • Business Intelligence Manager
  • Software Engineer
  • Project Manager
  • Government Jobs(PSU, Railway) like Junior Engineer, Bank IT Specialist Officer

Course Curriculum

Semester 1

  • Python Programming
  • Advance Database Management System
  • Statistics I
  • Research Methodology

Semester 2

  • Data Science with Python
  • Big Data Analytics
  • Statistics II
  • Artificial Intelligence

Semester 3

  • Machine Learning
  • Data Visualization
  • Cloud Computing
  • Information Retrieval

Semester 4

  • Deep Learning
  • Social Network Analysis
  • Natural Language Processing
  • Project

Placements Partners


How to Apply

The admission procedure usually starts in the month of June after the results of undergraduate courses are declared.

  1. Fill the Pre-enrollment form of the University of Mumbai through the University portal ( Select the autonomous option for M.Sc (Data Science).
  2. Fill online admission form on
  3. Upload a copy of the pre-enrollment form, Graduation mark sheet/digital result,HSC mark sheet/digital result, caste/reservation certificate if applicable, and E-Suvidha ticket.
  4. On the declaration of merit list (first then second then third if applicable) pay the fees along with submission of the documents such as Undertaking regarding admission confirmation, SSC(X marksheet), Leaving Certificate, Adhar card, scanned copy of Cheque book leaflet/bank account details and transfer certificate in case the student is from outside Maharashtra.
  5. For further details and to know more about the college visit

The Bachelor’s degree in the Faculty of Science/ Technology of this University or equivalent degree of recognized Universities with major and ancillary Subjects at undergraduate level as detailed below:

Major Ancillary
Physics  Mathematics (4 Units)
Statistics  Mathematics (4 Units)
Life Sciences Biochemistry or Chemistry with Mathematics or Statistics in first and second year OR Computer Sciences OR Information Technology up to second year of Bachelors Degree
Bachelors Degree in Technology (B.Tech./B.E.) in Engineering/ Computer Sciences/ Information Technology
Bachelors Degree in Computer Sciences B.C.A/B.C.S/ Information

Total no. of Seats: 40

Reservation of Seats: Reservations are as per the Government policy.

Fees: As prescribed by the University of Mumbai. The details have been mentioned on the college Notice board and the College website http://www.

Duration of Programme: 4 Semesters spread over 2 years. The programme shall consist of 15 Theory papers and Project work

Enforcement of Attendance:

Our college is a pioneer institute in introducing the computerized attendance system. The computerized defaulters’ lists are displayed division wise regularly at the end of every month on the Students Notice Board. The students failing to fulfill the required attendance shall be DETAINED and shall not be permitted to take the Annual / Board examination. Warning letters from the Principal are sent to parents of the defaulting students. The letters are given to the concerned students by the class teachers in the classrooms. The students must hand over these warning letters to the parents. Students should note that fulfilling the attendance requirement alone will not qualify them to appear for the examination. Their academic performance should also be to the satisfaction of the principal.

General Rules & Regulations:

  1. Every student should obtain an ID card and show at the entry
  2. Students should not loiter in the corridors when the lectures are engaged
  3. Giving proxy attendance is a serious act of indiscipline
  4. Students applying for certificates/testimonials and attestation should first contact the college office
  5. Ragging is strictly prohibited on the college premises
  6. The use of mobile phones inside the college is strictly prohibited. If caught using a cell phone it is confiscated for a period of 1 year

Punitive Measures:

  1. Warning
  2. Cancellation of admission
  3. Refusal to grant admission in future
  4. Withholding or withdrawing of University exam form
  5. Expulsion / rustication from college
  6. Fine not exceeding Rs. 300
  7. Non-refund of fees and deposits
  8. Suspension for a specified period
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