UNIVERSITY OF MUMBAI


DEPARTMENT OF COMPUTER SCIENCE

M.Sc. (Computer Science)

M.Sc. Computer Science

 

About Programme

M.Sc. in Computer Science is a two-year post-graduate programme with the objective to develop human resources with core competence in various thrust areas of Computer Science. It will provide students with opportunities to develop and hone core competency in the field of computer science and encourage them to make a mark in the much sought-after IT industry. The Syllabus of this Course creates a unique identity for M.Sc. in Comp Science distinct from similar degrees in other related subjects, focuses on core Computer Science subjects, incorporate advanced and most recent trends, Identify and nurture research temper among students, Offer provision for internship with industry and Focus, as far as possible, only on open-source software.

 

Programme Outcome

Ø  Comprehension of technical information from multimedia presentations (BTL: 1,2)

Ø  Learn to grasp theoretical concepts and use modern tools and techniques (BSL: 3, 4)

Ø  Incorporate productivity measurement and project planning tools for periodical self-assessment (BTL: 5)

Ø  Develop and demonstrate leadership skills by taking advantage of assorted learning opportunities (BTL: 6) 

 

Programme Sepcific Outcome

Ø  Knowledge of the core subjects within computer science; Aptitude to employ computational skills so as to provide solutions to real-world problems; Up to date with technological trends (BTL: 1, 2, 3)

Ø  Capability to join a team of IT solution providers, lead projects or launch start-ups; Ability to explore opportunities in research and academia (BTL: 4, 5, 6)

Ø  Equipped with the required soft skills for professional development; Motivation for independent and life-long learning in computer science and allied fields (BTL: 1 to 6) 

 

Eligibility

B.Sc. (Computer Science, IT, Mathematics, Physics, Statistics) / BCS     / B.E. (Computer / IT)

 

 

Intake & Seats Reservation

Ø  Intake: 200 Students.

Ø  Reservation in Seats:    Other University – 6 (3%)

                                          Mumbai University – 194 (97%)

                                          [GEN- 74 (38%); SC- 25 (13%); ST- 13 (7%);

                                          DT (A)- 6 (3%); NT (B)- 5 (2.5%);

                                          NT (C)- 7 (3.5%); NT(D)- 4 (2%); OBC- 37 (19%);

                                         SBC- 4 (2%); EWS-19 (10%)] 

 

Admission Process 

Ø  Admission will be made on purely merit basis.

Ø  Documents along with application form:

(1)  Application Fees Rs. 100.00

(2)  FY, SY, TY Degree Marksheets

(3)  Caste Certificate, if any

Ø  Documents along with admission form:

(1)  SSC, HSC, FY, SY, TY Degree Marksheets

(2)  SSC School Leaving Certificate

(3)  Aadhar Card

(4)  Caste Certificate & Caste Validity, if any

 

Subjects and Evaluation

 

Paper Code

Paper Name

Credits

Total Marks

External (UA)

Internal (CA)

Max Marks

Min Marks

Max Marks

Min Marks

Max Marks

Min Marks

Semester-I

 

           

PSCS101

Algorithm for Optimization

4

100

40

60

24

40

16

PSCS102

Software Defining Networking

4

100

40

60

24

40

16

PSCS103

Applied Signal and Image Processing

4

100

40

60

24

40

16

PSCS104

Advanced Database Techniques

4

100

40

60

24

40

16

PSCSP101

Practical: Algorithm for Optimization

2

50

20

50

20

-

-

PSCSP102

Practical: Software Defining Networking

2

50

20

50

20

-

-

PSCSP103

Practical: Applied Signal & Image Processing

2

50

20

50

20

-

-

PSCSP104

Practical: Advanced Database Techniques

2

50

20

50

20

-

-

Total

 =SUM(ABOVE) 24

 =SUM(ABOVE) 600

-

 =SUM(ABOVE) 440

-

 =SUM(ABOVE) 160

-

Semester-II

 

           

PSCS201

Applied Machine and Deep Learning

4

100

40

60

24

40

16

PSCS202

Natural Language Processing

4

100

40

60

24

40

16

PSCS203

Web Mining

4

100

40

60

24

40

16

PSCS204

Embedded and IoT Technology

4

100

40

60

24

40

16

PSCSP201

Practical: Applied Machine & Deep Learning

2

50

20

50

20

-

-

PSCSP202

Practical: Natural Language Processing

2

50

20

50

20

-

-

PSCSP203

Practical: Web Mining

2

50

20

50

20

-

-

PSCSP204

Practical: Embedded and IoT Technology

2

50

20

50

20

-

-

Total

 =SUM(ABOVE) 24

 =SUM(ABOVE) 600

-

 =SUM(ABOVE) 440

-

 =SUM(ABOVE) 160

-

 

.