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iMSc

4-year Integrated MSc - Computer Science

NIIT University’s (NU) 4-year Integrated MSc programme in Computer Science (iMSc CS) is designed to provide students an overview of computing, an understanding of the concepts, principles and skills in their application and extension, and a practical experience in applied computing. NU’s iMSc CS programme is offered to students who have not studied Mathematics in Class XI and Class XII (or equivalent) and wish to pursue a career in Computer Science.

The programme

  • Builds a strong foundation in the Mathematics of computing – its logic, sets, relations and grammar
  • Emphasises the fundamental principles underlying computing
  • Helps develop an understanding of the considerations of Computer Science in the design, implementation and usage of computing systems
Since the Computer Science discipline rests heavily on Mathematics, students are expected to take a carefully designed Bridge Programme in the subject that will enable them to cope with the rigour of the iMSc programme. The Bridge Programme in Mathematics is spread across the first two semesters (Year I) of the iMSc programme. These will include three remedial courses in Mathematics that cover topics from univariate differential and integral calculus as well as selected topics from elementary probability.
The programme will also have several Elective courses in the area of Bioinformatics. Bioinformatics is an interdisciplinary field, which combines branches like biology, mathematics, statistics, and computer science for analysing and interpreting biological data DNA, genes, proteins, drug ingredients and metabolic pathways.

Key differentiators

What sets NU’s Integrated MSc programme in Computer Science apart? In keeping with our core principles, our iMSc CS programme offers students a robust mix of theoretical classes across disciplines and provides the hands-on experience that is required to make students industry ready.
The hallmark of the iMSc CS programme is the strong industry linkage. Students study common courses across disciplines in the first year and undertake several fundamental courses in the second year. In the sixth semester, iMSc CS students do their R&D Project component under faculty mentors. Selected students may opt for live projects in collaboration with industry partners for this component. Some courses are taught by experts from the industry or from other universities. The eighth semester involves a compulsory six-month industry practice/project.
iMSc CS students may opt for to specialise in Data Science which is a specialisation within BTech CSE that is conducted in collaboration with industry partners. Data Science involves the extraction of knowledge from data, employing techniques and theories drawn from many fields within the broad areas of computer science, mathematics and statistics.

Co-designed with an industry partner, NU’s Data Science programme focuses on creating trained Computer Science graduates to fulfil industry needs. Students shortlisted by the industry partner at the beginning of sixth semester, go through a set of special electives offered in collaboration with the industry partner during their sixth and seventh semesters.

The eighth semester is used for an industry project which can be completed either at the industry site or in the campus under joint supervision of industry and faculty mentors. Students can complete their Industry Practice in the eighth semester at companies such as Amazon, IBM, MakeMyTrip, Cognizant, Freecharge, SAP, Justdial, TCS, UrbanClap, PayU India, etc. At the end of the programme, successful candidates are likely to be offered placement by the industry partner.

Currently, NU’s industry partner in this programme is IBM. We are in conversation with other well-known companies to get them on board.
NU’s iMSc CS programme is flexible enough to allow students interested in higher studies or careers in industrial R&D opportunities to participate in research at the undergraduate level itself.

iMSc CS students have the opportunity to participate in R&D projects in the sixth semester as per the curriculum. Those interested can (optionally) also undertake projects under faculty guidance during the summer. For students interested in research, the Industry Practice/Project in the eighth semester can be done in an R&D organisation.

Students are encouraged to publish and present research papers at international conferences and journals.
NU’s Computer Science and Engineering department comprises faculty that possess rich prior experience in teaching, research, and industry in India, USA, Canada and Germany. Their research has been published in several international journals and conference proceedings.

Placements

NU’s iMSc CS programme offers a novel blend of disciplines to provide a broad understanding of subjects with a specific focus on their interconnectivity. It is encouraging that every student of the iMSc batch of 2021 has found placement or have proceeded to study further in the field in reputed institutions of higher education.

100%

placement* in 2021

9 LPA

Highest package in 2021
quotes NU honed my skills to make me industry-ready and I was able to translate my internship at BigBasket to become a full-time professional in the company.” — Lasya Praharshini Bandi, iMSc Class of 2021

Placement partners

Students pursuing this stream find rewarding professional opportunities with reputed organisations.

Meet our faculty

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Prof Ratna Sanyal

Professor, Computer Science & Engineering & Dean - Research

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Prof Sudip Sanyal

Professor and Dean, Faculty of Engineering and Technology

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Prof Debashis Sengupta

Professor and Area Director

Prof Eswaran Narasimhan
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Prof Eswaran Narasimhan

Professor and Area Director

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Dr Ayan Nandy

Assistant Professor

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Dr Deepika Prakash

Assistant Professor

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Dr Kumar Nitesh

Assistant Professor

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Dr Shweta R Malwe

Assistant Professor

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Mr Surendar Singh

Assistant Professor

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Mr Vivek Kumar Anand

Assistant Professor

Programme outline

The four-year, eight-semester course offers 179 credits.
Semester 8
CSE core courses 60 credits
CSE electives 20 credits
Industry Practice 20 credits
R&D Project 4 credits
Total credits 179
Course split
Lectures 47%
Tutorials 4%
Practicals 49%
  • Computer Networks
  • Object Oriented Programming
  • Design and Analysis of Algorithms
  • Computer Architecture and Organization
  • Discrete Mathematics
  • Database Management Systems
  • Operating Systems
  • Software Engineering
  • Theory of Computation
  • Introduction to Communication Systems
  • Systems and Network Security
  • Programming Tools
  • Computer Graphics

Professional electives

NU’s iMSc CS programme will have several electives in the area of Bioinformatics, which plays an important role in collecting and linking DNA information to solve many medical complications, apart from electives pertaining to the field of CS. Bioinformatics is an interdisciplinary field which combines Biology, Mathematics, Statistics, and Computer Science. Bioinformatics develops algorithms and software to record and analyse biological data such as DNA, genes, proteins, drug ingredients and metabolic pathways.
01.
Artificial Intelligence
02.
Artificial Neural Network
03.
Introduction to Soft Computing
04.
Data Mining for Bioinformatics
05.
Genomics and Proteomics
06.
Perl and Bio-Perl
07.
Computational Biology
08.
Biological Sequence Analysis
09.
Statistical Modelling for Data Science
10.
Advanced Communication Networks
11.
High Performance Computing
12.
Introduction to Linear and Nonlinear Optimization
13.
Computer Vision
14.
Mobile Platform Programming
15.
Web Intelligence and Algorithms
16.
Machine Learning
17.
Computational Geometry and Applications
18.
Cyber Security
19.
Game Theory
20.
Introduction to Information Security
21.
Modelling and Simulation
22.
Information Retrieval
23.
Natural Language Processing
24.
Java Programming
25.
Internet of Things

Specialisation

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Data Science
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Big Data Engineering
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Cyber Security
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Computational Biology
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Cloud Computing
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Bioinformatics
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Programme architecture

# Course code Course L T P C
1 MAT 011 Remedial Math-I 2 2 0 4/
Science-I (Physics/Chemistry) 2 0 2 4
2 TA 111 Fundamentals of Computer Programming 2 0 4 4
3 TA 102 Communication Skills 2 0 2 3
HSSM – I 3 0 0 3
4 NU 111 Community Connect (Audit) 0 0 2 1
Total semester L-T-P-C 12 2 9+2 18+1
# Course code Course L T P C
1 TBA Remedial Math-II 2 2 0 4
2 TBA Remedial Math III 2 2 0 4
  Science II (Chemistry/Physics) 3 0 3 4
3 CS 102 Data Structures 3 0 3 4
  Fundamental of Electronics 3 1 0 4
4 ENV 301 Environmental Science (Audit) 3 0 0 3
5 NU 112 Community Connect (Audit) 0 0 2 1
Total semester L-T-P-C 16 4 6+2 20+4
# Course code Course L T P C
1 MAT 112 Calculus 3 1 0 4
2 EL 101 Digital Logic and Circuit 3 0 3 4
3 CS 232 Discrete Maths 3 1 0 4
4 CS 251 Object Oriented Programming 2 0 4 4
5 CS 241 Introduction to Communications Systems 3 0 2 4
  HSSM-II 3 0 0 3
6 NU 211 Community Connect (Audit) 0 0 2 1
Total semester L-T-P-C 17 2 9+2 23+1
# Course code Course L T P C
1 CS 201 Design & Analysis of Algorithms 3 0 3 4
2 MAT 101 Algebra & Differential Equation 3 1 0 4
3 CS 122 Computer Arch. & Organization 3 0 2 4
4 CS 211 Operating Systems 3 0 2 4
5 CS 231 Database Management Systems 3 0 2 4
  HSSM – III 3 0 0 3
6 NU 212 Community Connect (Audit) 0 0 2 1
Total semester L-T-P-C 18 1 9+2 23+1
# Course code Course L T P C
1 CS 261 Computer Networks 3 0 2 4
2 CS 301 Software Engineering 3 0 2 4
3 CS 302 Theory of Computation 3 1 0 4
4 CS 322 Compiler Design 3 0 2 4
5 EL 302 Digital Image Processing 3 0 2 4
  HSSM-IV 3 0 0 3
6 NU 311 Community Connect (Audit) 0 0 2 1
Total semester L-T-P-C 18 1 8+2 23+1
# Course code Course L T P C
1 CS 382 Multi-device Programming 3 0 2 4
  Professional Elective I 3 0 2 4
  Professional Elective I 3 0 2 4
  Capstone Project I 1 0 6 4
2 NU 302 R & D Project 1 0 6 4
  HSSM-V 3 0 0 3
3 NU 312 Community Connect (Audit) 0 0 2 1
Total semester L-T-P-C 14 0 18+2 23+1
# Course code Course L T P C
  Professional Elective III 3 0 2 4
  Professional Elective IV 3 0 2 4
  Professional Elective V 3 0 2 4
  Open Elective I 3 0 2 4
  Open Elective II 3 0 2 4
  Capstone Project II 1 0 6 3
1 NU 411 Community Connect (Audit) 0 0 2 1
Total semester L-T-P-C 16 0 16+2 24+1
# Course code Course L T P C
1 NU 402 Industry Practice/Project 0 0 40 20
Total semester L-T-P-C 179
Course code Course L T P C Course Type
Data Science
DS 412 Inferential Statistics for Data Science 2 0 4 4 PE
CS 491 Natural Language Processing 3 0 2 4 PE
Cyber Security
CS 461 Introduction to Information Security 3 0 2 4 PE
CS 511 Systems and Network Security 3 0 2 4 PE
Artificial Intelligence
CS 322 Artificial Intelligence 3 0 2 4 PE
CS 4111 Computer Vision 3 0 2 4 PE
Big Data Engineering
DS 402 Big Data Concepts 2 0 4 4 PE
CS 3102 Dimensional and NoSQL Databases 3 0 2 4 PE
Cloud Computing
CS 3132 Cloud Computing Concepts 3 0 2 4 PE
CS 3142 Advance Computer Networks 3 0 2 4 PE
Course Code Course Title L T P C Course Type
Data Science
DS 402 Big Data Concepts 2 0 4 4 PE
DS 422 Business Analytics 2 0 4 4 PE
DS 432 Predictive Modelling for Data Science 2 0 4 4 PE
Cyber Security
CS 4151 Cyber Security 3 0 2 4 PE
CS 572 Cyber Forensics 3 0 2 4 PEC
CS 4201 Blockchain Technology and Application 3 0 2 4 PE
Artificial Intelligence
CS 491 Natural Language Processing 3 0 2 4 PE
CS 342 Artificial Neural Network 3 1 0 4 PE
CS 4131 Machine Learning 3 1 0 4 PE
Big Data Engineering
CS 451 Data Mining 3 0 2 4 PE
CS 481 Information Retrieval 3 1 0 4 PE
CS 4121 Web Intelligence and Algorithms 3 0 2 4 PE
Cloud Computing
CS 4211 Parallel & Distributed Computing 3 0 2 4 PE
CS 4221 Cloud Services and Technologies 1 0 6 4 PE
CS 4231 Fog and Edge Networks 3 0 2 4 PE

FAQs

NU’s iMSc CS programme is designed for students who have not studied mathematics in class XI and class XII so they can enter into the exciting world of Computer Science Engineering. Students have the choice of pursuing pure computer science (CS)-related courses or to do a combination of CS and Computational Biology courses.

The iMSc CS degree puts them on par with BTech students with respect to the industry.
It is a 4-Year Integrated MSc Computer Science programme.
It is not very different. iMSc CS students have to take remedial Mathematics courses. They are also eligible to take professional electives offered to BTech Biotechnology students which are not normally offered to CSE students.
Certainly. In fact, placements opportunities are wider in scope. In addition to the CS industry, IT industries working in biology and allied areas would prefer to hire candidates with both CS and biology expertise.
The iMSc CS degree is a recognised master’s degree after which students can apply for doctoral studies at any institute.
The iMSc CS degree is a valid master’s degree. Students who wish to pursue a doctoral degree in BT will have to fulfil course prerequisites for PhD in BT, if any.
A carefully designed Bridge programme in Mathematics is provided to iMSc CS students to cope with the mathematics requirements in Computer Science. The remedial mathematics courses deal with only those topics in mathematics that are of relevance to CS. Hence, you will find it very interesting.
The remedial Math courses deal with only those topics in Maths that are of relevance to Computer Science and will be taught by expert faculty. Hence you will find it very interesting and relevant.
The duration of the iMSc programme is four years while it is five years for a regular MSc. The credit load is higher for iMSc CS as it is on par with a BTech.
The CS and Biological Sciences industries are rapidly advancing and both industries have indicated a strong need for computational biologists. The career prospects for a student with an iMSc CS degree are therefore very bright. The opportunities are also wider in scope to pure CS companies since IT industries working in Biology and allied areas prefer to hire candidates with both CS and Biology expertise. NU’s iMSc CS programme is so designed that you will be treated on par with BTech CSE with respect to placements.
  • Most of our faculty hold PhD degrees while others are pursuing their doctoral degrees at well-known institutions including NU itself.
  • Our faculty members have international qualifications combined with a perfect blend of academia and industry experience. They are engaged in active research in addition to their teaching and institution-building responsibilities.
  • Our expert faculty will handle remedial maths programme and provide faculty mentorship to iMSc CS students.
  • In addition to this, our adjunct faculty bring in industry and corporate experience that is vital to nurturing world-class engineers.
*Placements since inception for students who were eligible and opted for placements from NU