Data Science

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 NorthernUNI.

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.