The M.Sc programme in Computer Science 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. The programme is offered 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 programme emphasizes the fundamental principles underlying computing and helps develop an understanding of the computer science considerations involved in computing system design, implementation and usage. The programme builds a strong foundation in the mathematics of computing - logic, sets, relations and grammar.
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 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. Bioinformatics develops algorithms and software to record and analyse biological data such as DNA, genes, proteins, drug ingredients and metabolic pathways. Biological data is always in raw form and there is a need to store, organize and manipulate this date efficiently. Bioinformatics has enabled scientists to make biological tools which extract information from databases and can be used for research purpose. Bioinformatics plays an important role in collecting and linking DNA information to solve many medical complications. In addition scientists and researchers also need tools and software that can interlink information from different areas such as genomics, proteomics, mathematics, biology, etc. which again comes under the purview of Bioinformatics. Bioinformatics also helps in digitalizing the biological information which could be easily available to everyone everywhere. Major research efforts in the Bioinformatics field include sequence analysis, gene finding, genome assembly, drug design, drug discovery, protein structure prediction, DNA-protein interaction, drug docking, protein-protein interaction, molecular medicine and protein modelling.
Big Data/Data Sciences
Mobile Technologies & Applications
8 (4 Years)
CSE Core Courses
Strong Industry Linkage
Consistent with one of NU’s core principles, the hallmark of the M.Sc in Computer Science is the strong industry linkage. Students study common courses across disciplines in the first year and undertake several fundamental courses in the second year.
The R&D Project component in the sixth semester is done at NU under faculty mentors. Selected students may opt for live projects in collaboration with industry partners for this component of the programme. Some courses are taught by experts from the industry or other universities. The eighth semester involves a compulsory six-month industry practice/project.
Additionally, students may opt for the Data Science programme which is a specialization within the CSE B. Tech programme conducted in collaboration with industry partners.
There are several companies such as Amazon, IBM, PwC, MakeMyTrip, Cognizant, Freecharge, SAP, Justdial, TCS, UrbanClap, PayU India, etc. from which M.Sc Computer Science students have opportunities to complete their Industry Practice in eighth semester.
Data Science Programme
Data Science Programme in simple terms 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
Acknowledging the huge demands of Data Science Professionals in the industry today, the programme in Data Science has been designed to create trained Computer Science graduates to fulfill the requirements of the industry. The programme content is co-designed with an industry partner. Students are shortlisted by the industry partner at the beginning of sixth semester and go through a set of special electives during sixth and seventh semesters, offered in collaboration with the industry partner.
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. At the end of the programme, the successful candidates may be hired by the industry partner. Currently the industry partner participating in this programme is IBM. We are in conversation with other well-known companies to get them on board.
Our programme is flexible enough to allow students interested in higher studies and careers in industrial R&D opportunities to participate in research at the undergraduate level itself. M.Sc 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 breaks. Also the Industry Practice/Project in the eighth semester can be done in an R&D organization for those with a research bent of mind. Students are encouraged to publish and present research papers at international conferences and journals.
The Computer Science and Technology area at NIIT University has 13 full-time faculty members. The faculty comes with rich prior work experience in teaching, research, industry in India, USA, Canada and Germany. Their research has been published in several international journals and conference proceedings.
Professional Core Courses
Object Oriented Programming
Design and Analysis of Algorithms
Computer Architecture and Organization
Database Management Systems
Theory of Computation
Introduction to Communication Systems
Systems and Network Security
Professional Elective Courses
Artificial Neural Network
Introduction to Soft Computing
Data Mining for Bioinformatics
Genomics and Proteomics
Perl and Bio-Perl
Biological Sequence Analysis
Statistical Modeling for Data Science
Advanced Communication Networks
High Performance Computing
Introduction to Linear and Nonlinear Optimization
Mobile Platform Programming
Web Intelligence and Algorithms
Computational Geometry and Applications
Introduction to Information Security
Modeling and Simulation
Natural Language Processing
Internet of Things
What is unique about Integrated Computer Science M.Sc?
A programme in Computer Science designed for Biology students so that they can enter into the exciting world of Computer Science Engineering.
Students have a choice of pursuing pure Computer Science related courses or do both CS and Computational Biology courses.
The degree puts them on par with B.Tech students with respect to the industry.
What is the duration of the programme?
It is a 4-Year Integrated M.Sc Computer Science Programme.
How is Integrated M.Sc-CS different from B.Tech CSE?
There is not much difference. The M.Sc-CS students have to undertake remedial Math courses. They are also eligible to take professional electives offered to the B.Tech Biotechnology students which are not normally offered to CSE students.
Am I eligible for the same placements as B.Tech CSE?
Certainly. In fact, placements opportunities are wider as in addition to CS industry, IT industries working in Biology and allied areas would prefer to hire candidates with both CS and Biology expertise.
Will I be able to pursue a Ph.D in CS after doing Integrated M.Sc-CS at any university?
The degree is a recognised Masters degree after which students can apply for Doctoral studies.
Will I be able to pursue a Ph.D in BT after doing Integrated M.Sc-CS at any university?
The degree is a valid masters degree. The course prerequisites for Ph.D in BT have to be fulfilled if any.
Am I eligible for NU’s UMKC Programme if I do Integrated M.Sc-CS?
Currently our understanding with UMKC is for B.Tech CSE and ECE. We are looking into the possibilities since both are Masters degrees.
Can I switch to B.Tech CSE after completing one year of Integrated M.Sc-CS?
This is not possible.
I have dropped Maths. How will I cope with Maths in Integrated M.Sc-CS?
A carefully designed Bridge Programme in Mathematics is provided to M.Sc-CS students to cope with Math requirements of Computer Science. The remedial Math courses deal with only those topics in Maths that are of relevance to CS. Hence you will find it very interesting and relevant.
I do not have a strong liking for Maths. Will I be able to cope with Integrated M.Sc-CS?
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.
What is the difference between Integrated M.Sc-CS and normal M.Sc?
The duration is 4 years for M.Sc-CS and 5 years for M.Sc.
The credit load is higher for M.Sc-CS as it is on par with B.Tech.
How will the future career prospects be for this degree? Will I be treated on par with a B.Tech CSE or lower or higher?
The career prospects are very bright considering the rapid pace at which both CS ad Biological Sciences is moving. The industry has indicated a strong need for Computational Biologists. The opportunities are wider in addition to pure CS companies, IT industries working in Biology and allied areas would prefer to hire candidates with both CS and Biology expertise. The programme is so designed that you will be treated on par with B.Tech CSE with respect to placements.
What about the Faculty?
Expert faculty will be handling the remedial Math programme
Student faculty ratio is 1:18 thus enabling students to receive faculty mentorship
Most of our faculty are Ph. Ds and engaged in research work in addition to teaching. The remaining are pursuing Ph.D at well-known institutions including NU itself which offers Ph.D programmes.
Our faculty has international qualifications with a blend of academics and industry experience. They are engaged in active research in addition to teaching and institution building responsibilities.
We have adjunct faculty who bring in industry and corporate experience that is vital to bring out world class engineers.