Master of Science in Computer Science and Engineering
Major Areas:
The Master of Science in Computer Science and Engineering (MS in CSE) program is organized into four major areas:
Data Science
Software Engineering
Networking
Systems Engineering
A student will have to declare her/his major area during enrollment into the program. However, a student can change her/his major area before the start of the second semester with the permission of the Chairperson of the Department.
Admission Requirements:
Candidates must have a 4-year Bachelor degree in any of the following disciplines with a minimum CGPA of 2.5 on a 4.0 point scale or equivalent standing from any recognized institution:
- Computer Science and Engineering/ Computer Science/ Computer Engineering/ Software Engineering/ Information and Communications Engineering/ Equivalent
- Any engineering discipline with calculus, statistics, and programming (pre-requisite course(s) needed)
- Any physical/mathematical/biological science discipline with calculus, statistics, and programming (pre-requisite course(s) needed)
Candidates must have passed HSC/Equivalent program from Science group.
Candidates must pass an admission test administered by the university.
Study Track:
A student can pursue the MS in CSE program in either of two tracks:
Thesis Track
Project Track
A student will have to declare her/
his study track during enrollment into the program. However, a student can change her/his study track during the progress of the program with the permission of the Chairperson of the Department.
Length of the Program:
The length of the MS in CSE program is 3 semesters (one year). However, students may take up to 15 semester (five years) for completing the degree.
MS in CSE Program Cost:
|
Name of Programs
|
Total Credit
|
Fee per Credit
|
Tuition Fees
|
Lab & Activities Fees
|
Admission Fee
|
Grand Total
|
|---|---|---|---|---|---|---|
|
MS in CSE
|
40.0
|
6,000/=
|
240,000/=
|
9,060/=
|
20,000/=
|
269,060/=
|
Degree Requirement:
A candidate for the degree of MS in CSE must complete at least 33 credits with a minimum CGPA of 2.5 on a 4.0 point scale. The course requirements will be as follows.
Thesis Track
| Course Category | Number of Courses | Credit |
|---|---|---|
| Compulsory Courses for all Major Areas | 3 | 9 |
| Compulsory Courses from Major Area | 2 | 6 |
| Elective Courses from Major Area | 3 | 9 |
| Master Thesis |
|
9 |
| Total | 33 |
Project Track
| Course Category | Number of Courses | Credit |
|---|---|---|
| Compulsory Courses for all Major Areas | 3 | 9 |
| Compulsory Courses from Major Area | 2 | 6 |
| Elective Courses from Major Area | 5 | 15 |
| Master Project |
|
3 |
| Total | 33 |
Course Summary:
| Compulsory Courses for all Major Areas | Credit | Comment |
|---|---|---|
| Non-credit pre-requisite (if not done in the Bachelor program) |
|
|
| CSE503 Data Structures | 3 | Pass or Fail |
| Compulsory Courses |
|
|
| CSE504 Algorithms | 3 |
|
| CSE505 Database Systems | 3 |
|
| CSE596 IT Project Management and Entrepreneurship | 3 |
|
| 1. Major Area: Data Science | Credit | Comment |
|---|---|---|
| Non-credit pre-requisite (if not done in the Bachelor program) | ||
| CSE506 Artificial Intelligence | 3 | Pass or Fail |
| Compulsory Courses | ||
| CSE520 Statistics for Data Science | 3 |
|
| CSE521 Machine Learning | 3 |
|
| Elective Courses | ||
| CSE522 Data Mining | 3 |
|
| CSE523 Digital Image Processing | 3 |
|
| CSE524 Computer Vision | 3 |
|
| CSE525 Pattern Recognition | 3 |
|
| CSE526 Bioinformatics Algorithms | 3 |
|
| CSE527 Big Data Analytics | 3 |
|
| CSE560 Distributed Systems and Algorithms | 3 |
|
| 2. Major Area: Software Engineering | Credit | Comment |
|---|---|---|
| Non-credit pre-requisite (if not done in the Bachelor program) | ||
| CSE507 Information System Analysis and Design | 3 | Pass or Fail |
| Compulsory Courses | ||
| CSE550 Software Engineering | 3 |
|
| CSE551 Software Testing and Quality Assurance | 3 |
|
| Elective Courses | ||
| CSE552 Simulation and Modeling | 3 |
|
| CSE553 Software Architecture | 3 |
|
| CSE554 Human Computer Interactions | 3 |
|
| CSE555 Advanced Database System | 3 |
|
| CSE556 Web Programming | 3 |
|
| CSE560 Distributed Systems and Algorithms | 3 |
|
| CSE565 Mobile Programming | 3 |
|
| CSE521 Machine Learning | 3 |
|
| CSE522 Data Mining | 3 |
|
| CSE526 Bioinformatics Algorithms | 3 |
|
| CSE527 Big Data Analytics | 3 |
|
| 3. Major Area: Networking | Credit | Comment |
|---|---|---|
| Non-credit pre-requisite (if not done in the Bachelor program) | ||
| CSE508 Computer Networks | 3 | Pass or Fail |
| Compulsory Courses | ||
| CSE560 Distributed Systems and Algorithms | 3 |
|
| CSE561 Advanced Network Services and Management | 3 |
|
| Elective Courses | ||
| CSE562 Wireless Networks | 3 |
|
| CSE563 Cellular Networks | 3 |
|
| CSE564 Network Security and Systems | 3 |
|
| CSE565 Mobile Programming | 3 |
|
| CSE521 Machine Learning | 3 |
|
| CSE522 Data Mining | 3 |
|
| CSE527 Big Data Analytics | 3 |
|
| 4. Major Area: Systems Engineering | Credit | Comment |
|---|---|---|
| Non-credit pre-requisite (if not done in the Bachelor program) | ||
| CSE509 Digital Logic Design | 3 | Pass or Fail |
| Compulsory Courses | ||
| CSE5570 Internet of Things | 3 |
|
| CSE571 Microprocessors and Microcontrollers | 3 |
|
| Elective Courses | ||
| CSE572 ASIC Design Using FPGA | 3 |
|
| CSE573 VLSI Design | 3 |
|
| CSE574 Robotics | 3 |
|
| CSE575 Embedded Systems | 3 |
|
| CSE521 Machine Learning | 3 |
|
| CSE522 Data Mining | 3 |
|
| CSE527 Big Data Analytics | 3 |
|
| CSE560 Distributed Systems and Algorithms | 3 |
|
| CSE561 Advanced Network Services and Management | 3 |
|
| Thesis/Project | Credit | Comment |
|---|---|---|
| CSE597 Master Project | 3 |
|
| CSE599 Master Thesis | 9 |
|
