Program Objective

The graduates of the program of Bachelors of Computer Systems Engineering will be equipped with skills to demonstrate an understanding of key technologies applicable within the main areas of Computer Systems Engineering. The main objectives of this program are:

  • To produce practicing and employable engineers who have sound theoretical foundation and practical capabilities in computer engineering to serve in industry, academia and related organizations.
  • To produce graduates who can use their up to date knowledge of automation and distributed systems along with problem solving techniques and modern tools to solve complex design problems in the field of computer systems engineering and its applications.
  • To produce engineers who know the social, ethical, and environmental aspects of their work.
  • To produce computer engineers who have good leadership skills and can work effectively in a team.
  • To produce graduates who can stay current with technological and IT innovations through lifelong learning, higher education or research.

Program Learning Outcome

1. Engineering Knowledge: Ability to apply knowledge of mathematics, science, engineering fundamentals and an engineering specialization to the solution of complex engineering problems.

2. Problem Analysis: Ability to identify, formulate, research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences and engineering sciences.

3. Design/Development of Solutions: Ability to design solutions for complex engineering problems and design systems, components or processes that meet specified needs with appropriate consideration for public health and safety, cultural, societal, and environmental considerations.

4. Investigation: Ability to investigate complex engineering problems in a methodical way including literature survey, design and conduct of experiments, analysis and interpretation of experimental data, and synthesis of information to derive valid conclusions.

5. Modern Tool Usage: Ability to create, select and apply appropriate techniques, resources, and modern engineering and IT tools, including prediction and modeling, to complex engineering activities, with an understanding of the limitations.

6. The Engineer and Society: Ability to apply reasoning informed by contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to professional engineering practice and solution to complex engineering problems.

7. Environment and Sustainability: Ability to understand the impact of professional engineering solutions in societal and environmental contexts and demonstrate knowledge of and need for sustainable development.

8. Ethics: Ability to apply ethical principles and commit to professional ethics and responsibilities and norms of engineering practice.

9. Individual and Team Work: Ability to work effectively, as an individual or in a team, on multifaceted and /or multidisciplinary settings.

10. Communication: Ability to communicate effectively, orally as well as in writing, on complex engineering activities with the engineering community and with society at large, such as being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.

11. Project Management: Ability to demonstrate management skills and apply engineering principles to one’s own work, as a member and/or leader in a team, to manage projects in a multidisciplinary environment.

12. Lifelong Learning: Ability to recognize importance of, and pursue lifelong learning in the broader context of innovation and technological developments.

Eligibility

  • Higher Secondary School Certificate or A-levels or Equivalent with Physics, Mathematics and Chemistry securing at least 60% marks in aggregate or IBCC equivalence.
  • Diploma of Associate Engineer Examination in relevant discipline securing at least 60% aggregate marks.

Selection Criteria 

  • MAJU Admission Test (50%)
  • Past Academic Record (50%)
  • Interview

Duration

This is a four years’ degree program comprising of 8 semesters. There is a Fall and a Spring semester in each year. The summer semester is utilized for internship or deficiency courses. The maximum duration to complete the BE program is 7 years.

Degree Requirements

  • Each candidate of BE (Computer Systems Engineering) is required to complete successfully 134 credit hours with a minimum 2.0 of 4.0 CGPA.
  • It is mandatory for every student to complete a senior design project after the 6th semester or to complete 90 credit hours of course work. Internship
  • All students have to undergo a mandatory 6-8-week internship arranged by the placement office. The internship is normally taken after passing 60 credit hours. The internship is closely monitored by an internship coordinator. Successful completion of internship is a mandatory requirement for graduation.

Elective Courses

FPGA Based Systems
Artificial Intelligence
Robotics
Cloud Computing
Parallel and Distributed Computing
Internet of Things
Routing and Switching
Machine Learning
Data Mining

+ PROGRAM OBJECTIVES


Program Objective

The graduates of the program of Bachelors of Computer Systems Engineering will be equipped with skills to demonstrate an understanding of key technologies applicable within the main areas of Computer Systems Engineering. The main objectives of this program are:

  • To produce practicing and employable engineers who have sound theoretical foundation and practical capabilities in computer engineering to serve in industry, academia and related organizations.
  • To produce graduates who can use their up to date knowledge of automation and distributed systems along with problem solving techniques and modern tools to solve complex design problems in the field of computer systems engineering and its applications.
  • To produce engineers who know the social, ethical, and environmental aspects of their work.
  • To produce computer engineers who have good leadership skills and can work effectively in a team.
  • To produce graduates who can stay current with technological and IT innovations through lifelong learning, higher education or research.

Program Learning Outcome

1. Engineering Knowledge: Ability to apply knowledge of mathematics, science, engineering fundamentals and an engineering specialization to the solution of complex engineering problems.

2. Problem Analysis: Ability to identify, formulate, research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences and engineering sciences.

3. Design/Development of Solutions: Ability to design solutions for complex engineering problems and design systems, components or processes that meet specified needs with appropriate consideration for public health and safety, cultural, societal, and environmental considerations.

4. Investigation: Ability to investigate complex engineering problems in a methodical way including literature survey, design and conduct of experiments, analysis and interpretation of experimental data, and synthesis of information to derive valid conclusions.

5. Modern Tool Usage: Ability to create, select and apply appropriate techniques, resources, and modern engineering and IT tools, including prediction and modeling, to complex engineering activities, with an understanding of the limitations.

6. The Engineer and Society: Ability to apply reasoning informed by contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to professional engineering practice and solution to complex engineering problems.

7. Environment and Sustainability: Ability to understand the impact of professional engineering solutions in societal and environmental contexts and demonstrate knowledge of and need for sustainable development.

8. Ethics: Ability to apply ethical principles and commit to professional ethics and responsibilities and norms of engineering practice.

9. Individual and Team Work: Ability to work effectively, as an individual or in a team, on multifaceted and /or multidisciplinary settings.

10. Communication: Ability to communicate effectively, orally as well as in writing, on complex engineering activities with the engineering community and with society at large, such as being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.

11. Project Management: Ability to demonstrate management skills and apply engineering principles to one’s own work, as a member and/or leader in a team, to manage projects in a multidisciplinary environment.

12. Lifelong Learning: Ability to recognize importance of, and pursue lifelong learning in the broader context of innovation and technological developments.

+ REQUIREMENT

Eligibility

  • Higher Secondary School Certificate or A-levels or Equivalent with Physics, Mathematics and Chemistry securing at least 60% marks in aggregate or IBCC equivalence.
  • Diploma of Associate Engineer Examination in relevant discipline securing at least 60% aggregate marks.

Selection Criteria 

  • MAJU Admission Test (50%)
  • Past Academic Record (50%)
  • Interview

Duration

This is a four years’ degree program comprising of 8 semesters. There is a Fall and a Spring semester in each year. The summer semester is utilized for internship or deficiency courses. The maximum duration to complete the BE program is 7 years.

Degree Requirements

  • Each candidate of BE (Computer Systems Engineering) is required to complete successfully 134 credit hours with a minimum 2.0 of 4.0 CGPA.
  • It is mandatory for every student to complete a senior design project after the 6th semester or to complete 90 credit hours of course work. Internship
  • All students have to undergo a mandatory 6-8-week internship arranged by the placement office. The internship is normally taken after passing 60 credit hours. The internship is closely monitored by an internship coordinator. Successful completion of internship is a mandatory requirement for graduation.
+ ELECTIVES

Elective Courses

FPGA Based Systems
Artificial Intelligence
Robotics
Cloud Computing
Parallel and Distributed Computing
Internet of Things
Routing and Switching
Machine Learning
Data Mining

+ PLAN OF STUDY
+ FEE STRUCTURE
+ SAMPLE TEST PAPER