Postgraduate Program

Department of Computer Science and Engineering

Program General Information

 

Title of Academic Program:

M.Sc. in Computer Science & Engineering (CSE)/  M.Engg. in Computer Science and Engineering

 

Name of Degree:

  • M.Sc. in Computer Science & Engineering
  • M.Sc. in Computer Science & Engineering (Specialization in Data Science or Specialization in Cyber Security)
  • M.Engg. in  Computer Science and Engineering
  • M.Engg. in Computer Science & Engineering (Specialization in Data Science or Specialization in Cyber Security)

 

Abbreviation

M.Sc. in CSE/M.Engg. in CSE

 

Program Offering Entity: 

Department of Computer Science and Engineering, School of Data and Sciences

Minimum Credit Hour Requirement36
Duration (Year/Semesters)3 Semesters
Total Class Weeks per Semester14 Weeks
Minimum CGPA requirements for graduation2.50
Maximum Academic Years of Completion5 Years

Admission Requirements:

Students must have a CGPA of 2.50 (out of 4.00) or equivalent in any one of the following degrees

  • 4-year B.Sc. Engg. Or B.Sc. in Computer Science and Engineering (CSE), Computer Science (CS) or Computer Engineering (CE).
  • 4-year B.Sc Engg. Degree in Electrical Engineering.
  • 4-year Bachelor’s degree in any other engineering or mathematical science or natural science or business information systems or related field. Students under this category will be required to take a number of prerequisite courses as presented in the following section.

 

Qualifying Requirements

  • The qualifying requirements for M.Sc/M. Engg degree is that a student must pass the minimum grade point of 2.65 based on the weighted average in his course work.
  • The C grades, up to a maximum of two subjects, may be ignored for the calculation of grade point average (GPA) at the written request of the student, provided the student has completed the total credit hour requirement with a minimum weighted GPA of
    2.65 in the remaining subjects.
  • No subject shall be repeated unless it is a compulsory requirement for the degree as determined by the Board of Postgraduate Studies. Performance in all the subjects shall be reflected in the transcript.
  • If the cumulative number of F grades obtained by the student is three or more, he shall not be allowed to continue in the program. If at the end of the second of any subsequent semesters, the cumulative GPA falls below 2.5 (considering all grades including F grades) he shall not be allowed to continue in the program.
     

In addition to the general M.Sc. in CSE/M.Engg. in CSE degree, the program also offers the following two specializations:

  • Data Science
  • Cyber Security


Curriculum Structure

Course Categories For M.Sc. in CSE

Category

Total Credits

Mandatory Courses

  • Research Methodology and seminar (CSE791)

3

Optional Courses

  • Seven (7) optional courses from the list of all available courses. Of these seven courses, a maximum of two CSE-approved postgraduate courses can be from the Business School.

21

Thesis

12

Total Credits

36


Course Categories For M.Sc. in CSE (Specialization in Data Science or Cyber Security

Category

Total Credits

Mandatory Courses

  • Research Methodology and seminar

3

Optional Courses

  • Seven (7) optional courses from the respective specialization. Of  these seven courses, a maximum of two courses can be from the other specialization or general courses or CSE-approved postgraduate courses offered by the Business School.

21

Thesis

12

Total Credits

36

Course Categories For M.Engg. in CSE

Category

Total Credits

Ten (10) courses from the from the respective specialization. Among these ten courses, maximum three courses can be from the other specialization, the Business School or general courses

30

Project

6

Total Credits

36

Prerequisites Courses
For students coming from Non-CSE/CS/CE/EEE or equivalent engineering background:

Course Code and Title

Credit Hours

Contact Hours/Week

Common Prerequisites Courses

CSE111

Programming Language II

3

6

CSE220

Data Structures

3

6

CSE221

Algorithms

3

6

Prerequisites Courses for the Data Science Specialization

STA201

Elements of Statistics and Probability

3

3

CSE422

Artificial Intelligence

3

6

Prerequisites Courses for the Cyber Security Specialization

CSE321

Operating Systems

3

6

CSE421

Computer Networks

3

6

These will be non-credit courses with Satisfactory (S)/Fail (F) grades.

 

 

List of Courses

1

Postgraduate Degree Details

CSE700

Thesis

CSE705

Computer Communications and Networks

CSE706

Advanced Parallel Algorithm

CSE707

Distributed Computing Systems

CSE708

Graph Theory

CSE709

Computational Geometry

CSE710

Advanced Artificial Intelligence

CSE711

Advanced Machine Learning

CSE713

Advanced Syntactic Pattern Recognition

CSE715

Neural Networks and Fuzzy System

CSE716

Advanced Database Systems

CSE717

Mathematical Programming

CSE718

Petri-Net Theory and System Modeling

CSE720

Computer Graphics and Animation

CSE721

Introduction to Cryptography

CSE722

Applied Cryptography and Cryptographic Protocols

CSE723

Web Security

CSE724

Ethical Hacking

CSE725

Cybersecurity Policy and Risk Management

CSE726

Information Assurance

CSE727

Digital Forensics

CSE728

Privacy Enhancing Technologies

CSE729

Blockchain and Distributed Ledger

CSE730

Threat Intelligence and Incident Response

CSE731

HCI and Design

CSE732

Advanced Quantum Computing

CSE741

Advanced Cloud Computing

CSE751

Advanced Natural Language Processing

CSE752

Deep Neural Networks

CSE753

Advanced Reinforcement Learning

CSE754

Deep Learning for Computer Vision

CSE755

Generative Machine Learning

CSE756

Probabilistic Graphical Models

CSE757

Machine Learning Systems Design

CSE758

Data Mining

CSE759

AI in Healthcare and Medicine

CSE761

Big Data Analytics

CSE762

Fairness, Ethics, and Explainability in AI

CSE763

Advanced Bioinformatics

CSE771

Economics of Cybersecurity

CSE772

Secure Programming

CSE773

Usable Security and Privacy

CSE774

Malware Analysis

CSE791

Research Methodology and Seminar

CSE798

Project


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