Computer Systems & Network Engineering


BSc (Hons) in Information Technology Specialising in Computer Systems & Network Engineering

This program is focused on design, development and maintenance of computer and data communication networks. It also covers skills to design and maintain services required to secure enterprise network infrastructure.

It includes a wide range of key knowledge areas related to computer systems and networking including network design and management, the convergence of IT and telecommunications, embedded systems,computer hardware and software, real-time systems and IT technical support.

The programme is especially designed to improve the students’ knowledge on theories, principles, and practices in computer network engineering.

Career Opportunities

  • Big Data Engineer
  • Data Analyst
  • Data Scientist
  • Business Intelligence Engineer
  • Software Engineer
  • Data Architect
  • Database Administrator
  • Consultant, Business Analytics
  • Machine Learning Engineer
  • Big Data Application Developer
  • Data Science Specialist

Entry Requirements

Minimum 3 “S” passes in G.C.E A/L (Sri Lanka) or Minimum 3 ”D” passes in G.C.E A/L Cambridge or Edexcel (in any subject stream) in a single sitting and Pass the Aptitude Test conducted by NORTHERN UNI.

Why Computer Systems and Network Engineering?

  • Meticulous curriculum that delves into the fundamentals of computer science, statistics, and applied mathematics, while weaving in real-world examples.
  • Acquire the skills and knowledge necessary to thrive in specialised roles that revolve around the entire data lifecycle—from capturing and storing data to performing statistical analysis and unravelling the compelling narratives that lie within.
  • Explore a wide spectrum of data science facets, including Data Warehousing and Business Intelligence (BI), Data Mining and Analytics, Cloud Computing, Machine Learning, Big Data Analytics, and Visual Analytics.
  • Become a master of data manipulation, analysis, and interpretation, gaining the ability to transform raw data into meaningful insights that drive strategic decision-making.

Programme Outcomes

  • Develop a solid foundation in computer science, statistics, and applied mathematics, forming the bedrock of your data science expertise.
  • Master the art of data warehousing, business intelligence, and data mining techniques, harnessing the power of data to gain valuable insights.
  • Explore the realms of cloud computing, leveraging scalable and flexible platforms to handle massive datasets and perform sophisticated analyses.
  • Dive into the realm of machine learning, uncovering patterns, making predictions, and building intelligent systems that learn from data.
  • Gain expertise in big data analytics, mastering the techniques to handle and extract insights from vast volumes, varieties, and velocities of data.
Code Module Credit
Semester 1
IT 1010 Introduction to Programming 04
IT 1020 Introduction to Computer Systems 04
IT 1030 Mathematics for Computing 04
IT 1040 Communication Skills 03
Semester 2
IT 1050 Object Oriented Concepts 02
IT 1090 Information Systems and Data Modeling 02
IT 1080 English for Academic Purposes 03
IT 1010 Engineering Mathematics 03
IT 1020 Network Fundamentals 04
Code Module Credit
Semester 1
IE 2020 Routing & Switching 04
IE 2030 Analog Electronics 02
IE 2080 Database Systems Administration 04
IE 2010 Digital Electronics 02
IE 2030 Object Oriented Programming 04
IT 2100 Probability and Statistics 03
Semester 2
IE 2040 Advanced Internetworking 04
IE 2060 Computer Systems Administration 04
IE 2050 Operating Systems 04
IE 2090 Professional Skills 02
IE 2070 Embedded Systems 04
Code Module Credit
IE 3010 Network Programming 04
IE 3020 Directory Services and Network Management 04
IE 3030 Wide area Networks 04
IE 3040 Information Storage Management 04
IE 3050 Wireless Communications 04
IE 3060 Business Management for IT 03
IE 3070 Network Technology Project 04
IE 3080 Network Security Engineering 04
IT 3110 Industry Placement (Non-GPA) 08
IT 3050 Employability Skills Development –Seminar (Non GPA) 01
Code Module Credit
IT 4010 Research Project 16
IT 4070 Preparation for the Professional World (Non GPA) 02
Four Elective Modules from the Following
IE 4040 Information Assurance and Auditing 04
IE 4060 Robotics & Intellingent Systems 04
IE 4020 Enterprise Standards for Information Systems 04
IE 4010 Information Security Management 04
IE 4080 Software Defined 04
IE 4050 Parallel and distributed computing 04
IT 4030 Internet of Things 04
IE 4070 Design and Management of Enterprise Network 04
IE4030 Virtualization and Cloud Computing Technologies 04

Course Fee

Tuition fees for the BSc (Hons) in Information Technology programme are currently set at LKR 215,000 per semester. It is important to note that fees for subsequent semesters must be paid prior to the commencement of each semester. This comprehensive fee covers various aspects, including lectures, tutorials, examinations, access to computer laboratory facilities, and library resources.

To make the payment, please credit the fees to Account No. 1630552 at the Bank of Ceylon, in favour of the Sri Lanka Institute of Information Technology. payments can be made at the Bank of Ceylon Kollupitiya Branch, located on the first floor of the BoC Merchant Tower Building, or at any branch of the Bank of Ceylon. Alternatively, you can also credit the fees to Account No. 00 399 0000033 at any branch of Sampath Bank.

Please note that fees are generally non-refundable. However, if you have a valid reason for requesting a refund, such as unforeseen circumstances, you may submit a refund request within one week from the date of commencement of lectures for each semester. It’s important to remember that a ten percent deduction will be applied to the refunded amount.

We encourage you to adhere to the fee payment deadlines and make the necessary arrangements to ensure a smooth academic journey. If you have any further questions regarding fees or payment options, please don’t hesitate to reach out to our dedicated admissions team