PROGRAMMED TO TRANSFORM YOU INTO A PROFESSIONAL

The M.Sc Computer Science Programme

The M.Sc Computer Science Programme at NU uses the university’s four core principles: Industry-linked, Technology-based, Research-driven and Seamless, as its foundation. NU recognizes that school students need to be given the flexibility and support to change their career choices. This is in keeping with our Core Principle of Seamlessness as well as an awareness of the changing nature of jobs and workplaces. The Four Year M.Sc Programme in Computer Science is designed to address the needs of these students. It is offered primarily to students who have opted for Physics, Chemistry and Biology and dropped Mathematics in Class 11 and 12 (or equivalent) and who wish to pursue a career in Computer Science.

The M.Sc Computer Science Programme demands and encourages the students to explore and connect with the multiple dimensions of today’s technology and business environment. Through a transformational process involving multidisciplinary courses of Engineering, Humanities & Social Sciences, laboratories, R&D projects, Industry Practice, in addition to other co-curricular components, the programme seeks to create exceptional leaders trained to operate in tomorrow’s complex technology-oriented business environment.

The 4-year programme comprises 8 semesters. The courses are categorized into:

  • Programme Core - Humanities, Social Sciences & Management - to acquire interdisciplinary knowledge
  • Professional Core - to gain proficiency in domain area
  • Basic Sciences - Mathematics & Sciences - to develop analytical ability
  • Professional Electives - to specialize in an industry-specific domain
  • R&D Project - to inculcate a strong research bent of mind
  • Open Electives - to orient towards professional interests
  • Industry Practice (to build seamlessness with the world of work through Industry-work or Industry-oriented research

To enable students to cope with the rigor of the Computer Science discipline which rests heavily on mathematics, they are expected to undergo a carefully designed Bridge Programme in Mathematics. The Bridge Programme is spread across the first two semesters of the M.Sc Programme. Three courses in mathematics are offered remedial courses during the first year of the programme - Remedial Math I is offered in the first semester while Remedial Math II and III are offered in second semester. These remedial mathematics courses will cover topics from univariate differential and integral calculus. Relevant topics in mathematics that are prerequisite to MAT 112 Calculus (a course dealing primarily with multivariate & vector calculus and introductory complex analysis) and MAT 101 Algebra and Differential Equations (a course dealing with linear algebra & ordinary differential equations without the existence and uniqueness proof) will also be covered. In addition, selected topics from elementary probability are also included in these remedial mathematics courses.

The first four semesters are devoted to theoretical and hands-on laboratory training in Programme Core, Basic Sciences, and foundational courses from Professional Core. This is followed by advanced courses spread over the next three semesters along with an R&D project. The final semester is dedicated to Industry Practice (IP) wherein students get to work on real-life projects in industry for six months leading to the completion of the M.Sc Computer Science Programme. Thus, the M.Sc Computer Science Programme is the sum total of education measures undertaken to develop holistic and responsible individuals with life-long learning capability as there is a strong emphasis to ensure that students ‘Learn to learn’.

Industry Practice (IP)

IP conducted at the site of the organization provides students with an opportunity to gain experience working in interdisciplinary teams on real assignments. During the full-semester IP, students are guided by a dedicated faculty mentor and a mentor from the organization. Besides technical skills, this semester also helps build strong professional skills including planning, problem-solving, time management, written and verbal communication, cost management, team-work, meeting deadlines, initiative, confidence to complete a task, integrity and customer communication.

Course Structure and Credits

Course Category

M.Sc Computer Science

No

Credits

%

Mathematics

5

23

13%

Science

2

8

4%

Technical Arts

2

7

4%

Humanities & Social Science

6

18

10%

Engineering

4

16

9%

Professional Core

12

48

27%

Professional Elective

5

20

11%

Open Elective

3

12

7%

R&D Project

1

4

2%

Environmental Science

1

3

2%

Industry Practice/ Project (Full Semester)

1

20

11%

Total

42

179

100%