Objective of the M.Sc. Program

The Master of Science Degree in Software Engineering provides specialized knowledge and experience in developing and modifying large, complex software systems. It emphasizes technical and management aspects of the software engineering process.
Software engineering is an established discipline based on requirement analysis, design, construction, testing, maintenance, economics, and management issues of software engineering. A pragmatic approach to problem solving is the hallmark of a software engineer. Software engineers are concerned with the theoretical and practical aspects of technology, cost, and social impact of software systems that are both effective and efficient.
Software engineers are in demand in every segment of society affected by computing technology. Potential employers include all software vendors and Internet-based companies, electronic business organizations, businesses that build and sell computers, research and development laboratories, aerospace companies, government contractors, banks, insurance companies, and manufacturing organizations. The master’s program is concerned with both technical and managerial issues, but primary emphasis is placed on the technical aspects of building and modifying high quality software systems.

• Currently we are conducting M.Sc. in Software Engineering with three options.
• M.Sc. in Software Engineering (without major)
• M.Sc. in Software Engineering with Major in Cyber Security
• M.Sc. in Software Engineering with Major in Data Science

Why study M.Sc. in SWE – Major in Cyber Security?

• Cybersecurity Career Options Growing Faster Than Other Sectors.
• Investment in Advanced Cybersecurity Education Pays for Itself.
• This programme equips graduates with the skills needed to design, implement, and manage cyber security concepts.
• Students will not only gain knowledge of the most important principles and methods of cyber security (as well as methods that are typically applied by hackers) but will also be taught how to apply this knowledge in the real world.
• Upon graduation, students will be able to develop new approaches and methods aimed at protecting IT systems and critical infrastructures.
• Prepare students for careers in the dynamic and growing cyber security industry.
• Prepare students for their future roles in the field of Cyber-Security.
• Students will develop their professional skills to meet the ever-changing demands of today’s digital world.

Why study M.Sc. in SWE – Major in Data Science and Machine Learning?

1. Data Science is greatly in demand. Prospective job seekers have numerous opportunities.
2. Designed to educate students on the latest technologies and analytical techniques through hands-on experience and a well-rounded curriculum.
3. Students can successfully compete for highly desirable positions throughout their respective industries, and employers can more fully rely upon their experience and abilities.
4. Enhance your Big data skills as well as data science knowledge.
5. Affordable charges of course.

Eligibility for Admission

The requirements for admission in M.Sc in Software Engineering degree program are:

• Completion of the bachelor’s degree from a recognized university or an accredited institution of higher education in science, engineering or a related field
• The applicant must have a CGPA of 2.5 or above (in the scale of 4.0), or at least second class in the bachelor’s degree.
• The applicant must have completed the enlisted prerequisite courses or their equivalent.
• Applicants, not completing the enlisted prerequisite courses, will be admitted on condition that she/he completes these courses in one or two semesters.

Evaluation of applicants for admission is based primarily on the student’s academic record in relevant undergraduate coursework. Provisional admission can be given to an applicant awaiting the result of her/his bachelor’s degree. Students who have work experience in the software engineering field but do not have the required academic background may also qualify to apply for admission to the software engineering field.

Total Credit and Duration of the Program

The summary of the program is given below:

SWE/CSE/Equivalent Background	Courses	Credits	Total Credits
Project based	10 courses	(10X3) = 30	36 credits
	Project	6
Thesis based	6 courses	(6X3) = 18	36 credits
	Thesis	18
Non-SWE/CSE Background
Project based	18 courses	(18X3) = 54	60 credits (max)
	Project	6
Thesis based	14 courses	(14X3) = 42	60 credits (max)
	Thesis	18

Students from academic discipline, other than SWE/CSE or equivalent will be required to complete a maximum of 60 credits. Duration of the course may vary from three to six semesters, depending on how many courses, a student has to undertake. In general, students who have completed the prerequisite courses prior to admission should be able to complete the required program in three semesters.

Program Outline

Requirement & Specifications for M.Sc. in SWE
Total 36 credits must be taken with Project (SWE698) or Thesis (SWE699) to make a major in particular discipline. A student may take minimum 6 courses (and Thesis) up to a maximum 10 courses (and a Project) from below but has to ensure to cover total of 36 credits for a background with IT related Bachelor:

Code		Course Title	Credits Hours	Course Intro
	SWE 575	Software Engineering I: Requirements & Modeling	3	Must Course
	SWE 587	Software Engineering II: Software Design	3	Must Course
	SWE 681	Principles of Cyber Security	3	Cyber Security related course
	SWE 682	Cryptography and Network Security	3	Cyber Security related course
	SWE 683	Ethical Hacking &Penetration Testing	3	Cyber Security related course
	SWE 684	Information Systems Audit & Assurance	3	Cyber Security related course
	SWE 685	Fundamentals for Data Science	3	Data Science related course
	SWE 686	Research Design and Applications for Data and Analysis	3	Data Science related course
	SWE 687	Applied Machine Learning	3	Data Science related course
	SWE 688	Data Visualization and Communication	3	Data Science related course
	SWE 578	Software Project Management	3	General Course
	SWE 579	Introduction to Software Architecture	3	General Course
	SWE 652	Empirical Research Methods in Software Engineering	3	General Course
	SWE 672	Management Information System	3	General Course

Elective course with credit – we have a long list – some are stated here.

Code			Course Title	Credits
	SWE 568	Web Application Development		3
	SWE 570	Data Modeling		3
	SWE 580	Industrial Seminar Series		3
	SWE 615	Agile Software Development		3
	SWE 618	Artificial Intelligence and Software Agents		3
	SWE 620	Data Analytics		3
	SWE 638	Measures and Models for Software Engineering		3
	SWE 640	Software Engineering Practice & Experience		3
	SWE 644	Human Computer Interaction		3
	SWE 655	E-governance		3
	SWE 657	Mobile Application Development		3
	SWE 664	Information Technology Infrastructure		3
	SWE 665	Information Technology Security		3
	SWE 666	Enterprise Resource Planning		3
	SWE 667	Data Warehousing		3
	SWE 668	Data Mining		3
	SWE 670	Software Marketing		3
	SWE 674	Client Server Technology		3

 

 

• Prerequisite Courses with credit (Academic Discipline other Than Relevant Background): 24 credits

Code			Course Title	Credits
	SWE 510	Introduction to Software Engineering		3
	SWE 511	Structured Programming Language with Lab		4
	SWE 512	Software Requirement Analysis and Design		3
	SWE 514	Java Programming with Lab		4
	SWE 516	Data Structure with Lab		4
	SWE 518	Introduction to Database with Lab		4
	SWE 520	Computer Algorithms with Lab		4
	SWE 522	Object-oriented Software Development (Lab Based)		4
	SWE 523	Operating System and System Programming		4
	SWE 524	Object Oriented Concepts & Design		4

• Project/Thesis

Code	Course Title	Credits
SWE698	Project	6
SWE699	Thesis	18