Menu
About
BSc (Hons) in Information Technology Specialising in Data Science
The meticulous curriculum of Data Science focuses on the fundamentals of computer science, statistics, and applied mathematics, while incorporating real-world examples. Graduates are prepared to succeed in specialized jobs involving everything from the data pipeline and storage, to statistical analysis and eliciting the story that data tells. Students will cover multiple facets of data science including Data Warehousing & Business Intelligence (Bl), Data Mining and Analytics, Cloud Computing, Machine Learning, Big Data Analytics, and Visual Analytics.
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
- AI Engineer
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 Data Science?
- 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 1060 | Software Process Modeling | 03 |
| IT 1080 | English for Academic Purposes | 03 |
| IT 1090 | Information Systems and Data Modeling | 04 |
| IT 1100 | Internet and Web Technologies | 04 |
| Code | Module | Credit |
|---|---|---|
Semester 1 | ||
| IT 2020 | Software Engineering | 04 |
| IT 2030 | Object Oriented Programming | 04 |
| IT 2040 | Database Management Systems | 04 |
| IT 2050 | Computer Networks | 04 |
| IT 2060 | Operating Systems and System Administration | 04 |
Semester 2 | ||
| IT 2010 | Mobile Application Development | 04 |
| IT 2070 | Data Structures and Algorithms | 04 |
| IT 2080 | IT Project | 04 |
| IT 2090 | Professional Skills | 02 |
| IT 2100 | Employability Skills Development –Seminar | 01 |
| IT 2110 | Probability and Statistics | 03 |
| Code | Module | Credit |
|---|---|---|
| IT3030 | Programming Applications and Frameworks | 04 |
| IT3011 | Theory and Practices in Statistical Modelling | 04 |
| IT3021 | Data Warehousing and Business Intelligence | 04 |
| IT3031 | Database Systems and Data-Driven Application | 04 |
| IT3060 | Information Retrieval and Web Analytics | 04 |
| IT3051 | Fundamentals of Data Mining | 04 |
| IT3061 | Massive Data Processing and cloud Computing | 04 |
| IT3061 | Massive Data Processing and cloud Computing | 04 |
| IT3071 | Machine Learning and Optimization Methods | 04 |
| IT3110 | Industry Placement (Non-GPA) | 08 |
| Code | Module | Credit |
|---|---|---|
| IT4010 | Research Project | 16 |
| IT4070 | Preparation for the Professional World (Non GPA) | 02 |
| IT4011 | Database Administration and Storage Systems | 04 |
| IT4021 | Internet of Things and Big Data Analytics | 04 |
| IT4031 | Visual Analytics and User Experience Design | 04 |
| IT4041 | Introduction to Information Security Analytics | 04 |
Course Fee
Tuition fees for the BSc (Hons) in Information Technology – Data Science 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.
Get the latest news from Northern UNI!
About Us
Northern UNI is an education initiative by the MAGICK Group in collaboration with SLIIT, which is the largest non-state degree awarding institute in Sri Lanka. This partnership brings best-in-class IT and business programmes to Jaffna.