Corona Virus Information, Guidelines and Activities Conducted Know More
Academics
Home > Academics

Master of Science (M.Sc.) in Big Data Analytics
(In collaboration with TCS)

Programme Objectives:

  • To acquire command in computational techniques and proficiency in data analyses.
  • To gain extensive practical knowledge in Big Data Analytics.
  • To be proficient with the tools and techniques required to work with and analyze today’s increasingly complex data sets in all areas of the sciences.
  • To gain exposure to industry-oriented education in data science and analytics.
  • To collate experiences of trained professionals to hone the ability to meet the demands of the Data Processing and Analytics Industry.

Program Outcomes:

  • Acquire enhanced skills in applied statistics, real analysis and numerical analysis.
  • Apply for data analytics job opportunities in the domain of predictive analytics, descriptive statistics.
  • Acquire skills in Data Mining, Data Infrastructure, Data Visualization, and Decisions Analysis.
  • Deduce cost-effective solutions and improve one’s decision-making power in multiple development areas, including healthcare, manufacturing, education, media, retail, and even real estate.
  • Select job opportunity from a variety of industries which match specific skills and interests.

Key Features:

  • Two years full time post graduate program in collaboration with TCS comprising four semesters with a total of 120 credits.
  • Ideal introduction to knowledge discovery, analysis and assessment of data extracted from structured and unstructured big-data sets, as well as visualization and communication of results with a compulsory core of professional subjects like statistics, machine learning and enabling technologies for data science relevant to all science disciplines.
  • Exposure to practical aspects, application-oriented subjects like business analytics and programming languages.
  • Practical skills developed in courses like computer modelling and, design and analysis of big data sets.
  • TCS supported internships to acquire industry- relevant training in semester IV.
  • Creates plethora of opportunities like Big Data Analyst, Big Data Manager, IT Systems Analyst, Operations Analyst, Data Engineer, Quantitative Analyst, Project Manager, Data Scientist.
  • The USP of this program is that it has an industry-driven curriculum.

Eligibility for Admission:

  • For being eligible to apply for admission to the Program, the learner should have passed either B.Sc.IT. / B.Sc. C.S. / B.Sc. Mathematics / B.Sc. Statistics / BCA / B.Tech./B.E. degree examination of this University or an equivalent degree of any other University with a minimum of 46 credits or its equivalent (i.e. the minimum credits required for majoring in a subject, and excluding the credits for optional courses) in the subject which he wants to offer for the M.Sc. degree program by papers provided the above candidate undergoes the proposed Bridge Course of 1 credit each in Mathematics, Statistics and IT, each for a duration of 15 hours, satisfactorily.

    OR
  • Students who have graduated majoring in Economics, with Econometrics as one of the Courses or students who have graduated in BAF/BMS/BBA/BFM/BBI/BCom Program of this University or any other University equivalent thereto will also be eligible for admission, provided they had passed Standard XII Board Examination with either Mathematics or Statistics as one of the subjects and undergoes the proposed Bridge Course of 1 credit each in Mathematics, Statistics and IT, each for a duration of 15 hours, satisfactorily.

    AND
  • Provided further the candidates hold a Graduate/Post Graduate Degree with a minimum of 60% marks or CGPA 6.5 on a 10-point scale in the qualifying Degree of BSc/ BCA/ B.Tech./B.E./ BA/ BAF/ BMS/ BBA/ BFM/ BBI/ BCom or equivalent will be eligible for this program provided he/she has scored not less than 60% in aggregate at the other threshold Examinations of Standard X and Standard XII.

    *Note: Candidates from the SC / ST Category will be eligible for a relaxation of 5% in respect of the above requirement.

  • Candidates, who are in the Final Year of their Degree Program, are also eligible to apply and will be given conditional admission in that they are to appear and pass in the final examination with a minimum of 46 credits or its equivalent (i.e. the minimum credits required for majoring in a subject, and excluding the credits for optional courses) in the subject and complete other academic requirements as specified above by July/August 2020. For such cases, admission will be provisional subject to submission of final mark sheet by 15th September 2020.

  • An Entrance Exam will be conducted for admission to the course.
  • Maximum intake for the program per year is 30.

Bridge Course:

  • There shall be a ‘Bridge Course’ in the relevant subjects, of approximately 15 hours each, at the beginning of the academic session which will be offered to the students who are admitted for the MSc Program in Big Data Analytics.
  • It is mandatory to complete the Bridge Course in the relevant subject/s as decided by the Program Coordinator and to the satisfaction of the Course teacher.
    • A student who has not graduated with Statistics as a major subject will be required to undergo the Bridge Course in Statistics.
    • A student who has not graduated with Mathematics as a major subject will be required to undergo the Bridge course in Mathematics.
    • Similarly, a student who has not graduated in either B.Sc. IT or B.C.A will be required to undergo the Bridge Course in Information Technology/Basic Programming.
  • Only on successful completion of the required Bridge Course, will the student be admitted to the M.Sc. Big Data Analytics and be eligible to enroll with the University of Mumbai for the same.

Scheme of Courses & Number of Credits:

Semester

Courses

No of Courses

No of Credits

Total Credits

Bridge Courses

Core Courses

3

1

3

I

Core Compulsory Courses

5

4

30

Practical Courses related to Core Courses

2

4

Practical Course related to Core Course

1

2

II

Core Compulsory Courses

4

4

32

Compulsory Course

1

2

Elective Course

1

4

Practical Course related to Core Courses

2

4

Practical Course related to Elective Course

1

2

III

Core Compulsory Courses

3

4

30

Elective Course

2

4

Practical Course related to Core and Elective

2

4

Practical Course related to Elective Course

1

2

IV

Project

1

28

28

 

Total of Semesters

26

 

120

Introductory Fee Structure:

The introductory fees for M.Sc in Big Data Analytics for the year 2020 -2021 would be Rs 90,000/-. It would be revised depending on the variable factors like cloud service charge and professional charge etc. from June 2021onwards.

Number of Seats/Total Intake:

The intake is a maximum of 30 students per year.

Reservation of Seats:

Jai Hind College is a Sindhi Linguistic Minority College, administered under the Provisions of the Indian Constitution, to promote the welfare of the Sindhi Linguistic Minority community and to extend its services to all other communities in India, so as to contribute to the harmony and integration of Indian society. 50% of seats are reserved for Sindhi Linguistic Minority students.

As per the Judgement dated 12th October 2017 of the Honorable Bombay High Court vide Writ Petition No.1726 of 2001, Minority Colleges do not need to set aside seats for Backward Classes. This was reiterated by the University of Mumbai Circular (No.Aff. / Recog.I / Admission (2018-19) / 10 / of 2018) dated 30th May, 2018. Accordingly, the Reservation of seats is as follows:

Category

Percentage of seats reserved

Sindhi Linguistic Minority

50%

Persons with Disability

5%

Special**

3%

** The Special category is for the wards of transferred State / Central Government and Private Sector employees, Defense Personnel, Ex-Servicemen, Freedom Fighters; for students who have met with an accident and also for award winners at the District / State / National Level in Sports or Cultural activities.
# Please note, admissions are as per University of Mumbai guidelines.
# 6 seats of the total seats in Sindhi Linguistic Minority and 5 seats in General Category will be reserved for B.Sc (Maths), B.Sc (Statistics) and along with the above graduates, the remaining seats will be available to students who have also graduated with B.Sc(IT), B.Sc (CS) and B.C.A , B.A. Economics, B.Com, BAF. BMS and BBA.

Admission:

Admission of students into M.Sc in Big Data Analytics will be on the basis of the C.G.P.A or aggregate marks in the graduate exams as well as the score of Entrance Test and the interview.

Important Dates (Tentative):

  • Starting of acceptance of online applications : 16th st August 2020 (Application form link will be active from this date onwards on www.jaihindcollege.com/radicalforms .
  • Last date for applying online : 15th September 2020.
  • Other dates related to admission process will be intimated later through the college website.
  • There will be an Entrance Test for shortlisting of applicants.
  • For any queries or clarifications, please send an email to bigdata@jaihindcollege.edu.in

ENTRANCE EXAM DETAILS :       Maximum Marks: 50
Distribution of marks : - Test of Reasoning (10 Marks)
                                            Mathematics & Statistics (40 Marks)

  • Logic: propositional logic, logical equivalence, predicates & quantifiers, and logical reasoning.
  • Sets: basics, set operations, ordered pairs, Cartesian products, finite and infinite sets
  • Functions and Relations: types of functions, inverse, properties, Combining relations, Closures, Equivalence
  • Elementary calculus: Limit and continuity, differentiation and integration, maxima and minima
  • Matrix algebra: basic operations, transpose, inverse, adjoint, determinant
  • Elementary probability & statistics: axioms, measures of central tendency and dispersion.

GENERAL INSTRUCTIONS:

  1. All students must carry a valid original photo ID proof (college ID, Passport, Aadhaar, etc.) and entrance exam hall ticket for the exam. All candidates who have submitted online application will receive a hall ticket for entrance exam by e-mail.
  2. The entrance exam will be held on 17.09.2020 at 11.00 a.m.
  3. The candidates must check the classroom number/seat allotment list displayed on the notice board on the day of the entrance exam and be at your seats at least 15 minutes before the commencement of the exam.
  4. No candidate is allowed to enter the exam hall after 15 minutes of the commencement of the start of the exam. The candidate can leave the hall after 30 min of commencement of exam.
  5. No cell phone, smart watches, book, any form of print material or electronic gadgets, calculators will be allowed to the exam hall. Any form of malpractice reported will be subject to disqualification of the candidate from the admission process.
  6. Venue for Entrance Exams :
          Class Room No: 1A, 1st Floor,
          Sheila Gopal Raheja Bldg (Annex Bldg),
          Jai Hind College Autonomous,
          23 – 24, ‘A’ Road, Churchgate (West),
          Mumbai – 400 020.
  7. A list of candidates provisionally selected for interview will be published on the website by evening 7 pm on the day of the entrance test. The interview for such candidates will be held on Saturday, 19th September, 2020 in the IT Department, 1st Floor, Main Building. From 11.00 a.m.
  8. Candidates are required to come prepared with all necessary documents, entire fees for the course and also plan your travel accordingly.

Master of Science (M.Sc.) in Big Data Analytics: Details of Courses Offered.

S.No.

Course Code

Course Title

Lectures

Credits

1

SBBDA101

Fundamentals of Mathematics

15

1

2

SBBDA102

Fundamentals of Statistics

15

1

3

SBBDA103

Introduction to Python and Scala, Introduction to Programming Concepts (OOPS, Java and Python)

15

1

4

SBDA101

Statistical Methods

45

4

5

SBDA102

Probability & Stochastic Process

45

4

6

SBDA103

Linear Algebra & Linear Programming

45

4

7

SBDA104

Database Management

45

4

8

SBDA105

Computing for Data Sciences

45

4

9

SBDA101PR

Practical-I based on SBDA101, SBDA102

40

4

10

SBDA102PR

Practical-II based on SBDA103, SBDA104

40

4

11

SBDA103PR

Practical-III based on SBDA105

20

2

12

SBDA201

Enabling Technologies for Data Science-I

45

4

13

SBDA202

Machine Learning – I

45

4

14

SBDA203

Advanced Statistical Methods

45

4

15

SBDA204

Foundations of Data Science

45

4

16

SBDA205A

Multivariate Statistics

45

4

17

SBDA205B

Operation Research

45

4

18

SBDA205C

Cloud Computing

45

4

19

SBDA206

Value Thinking

30

2

20

SBDA201PR

Practical-I based on SBDA201, SBDA202

40

4

21

SBDA202PR

Practical-II based on SBDA203, SBDA204

40

4

22

SBDA203PR

Practical-III based SBDA205A/ SBDA205B/SBDA205C

20

2

23

SBDA301

Enabling Technologies for Data Science-II

60

4

24

SBDA302

Machine Learning-II

60

4

25

SBDA303

Data Visualization with Tableau & Modelling in Operations Management

60

4

26

SBDA304A

Introduction to Econometrics and Finance

60

4

27

SBDA304B

IPR /Cyber Security/Text mining /Advanced Analytics

60

4

28

SBDA305A

Time series and Forecasting

60

4

29

SBDA305B

Big Data Technologies and Architecture and Introduction to Bioinformatics

60

4

30

SBDA301PR

Practical-I based on SBDA301, SBDA302

40

4

31

SBDA302PR

Practical-II based on SBDA303, SBDA304A/SBDA304B

40

4

32

SBDA303PR

Practical-III based on SBDA305A/ SBDA305B

20

2

33

SBDA401PJ

Internship based project.

20 weeks

28

© 2019 - Jaihind College | Privacy Policy | Site by Spenta Digital