BSC (HONOURS) IN DATA SCIENCE

PLYMOUTH UNIVERSITY – UNITED KINGDOM

Duration - 3 Years (Full time)

KEY FEATURES

The course has a stronger focus on fundamental concepts underpinning Data Science and the coverage of recent industry-changing developments in AI, big data analytics, machine learning, Python Programming, Natural Language Processing and Data Programming.
The inclusion of a more substantial computation, statistical, and big data element into the course requires students with a stronger mathematical background, which is ensured by differentiated criteria for admission.
The course combines the Sri Lankan computing market demand with the wider research and development approaches in data science to provide the necessary knowledge portfolio for the graduates, both within the Sri Lankan context and the wider international trends.
The course is taught by a combination of flying faculty from University of Plymouth and local lecturers, all with recognised research track record within their field, that seeking to embed research-informed teaching throughout the learning experience and helping to ensure state of the art knowledge, skills and practice. Students will have the exciting opportunity to engage with world-leading researchers in areas such as artificial intelligence, machine learning, neural networks and further advanced computing paradigms, provided through the continuous alignment of the programme to the current University of Plymouth curriculum.
NSBM has strong links with the Sri Lankan industry, having signed a Memorandum of Understanding (MoU) with 25 organizations who have either a IT focus or include a substantive IT element in their infrastructure or. In the preliminary phases, the group was consulted by the programme team to ensure the relevance of the curriculum to the market needs.
In line with the University of Plymouth values, NSBM promotes learning through practice and doing, and a prominent feature the two stages of the degree is a practice module that provides a holistic learning experience for students, drawing on the rest of their taught content from that stage (and earlier) and combining it to produce outputs of a professional standard.
The focus on fundamental and state of the art Data Science topics further provides options to engage into postgraduate studies in Data Science, Business Analytics or Machine Learning and Artificial Intelligence.

MAIN OBJECTIVES

To give students with a wide variety of qualifications an opportunity to realise their potential.
To enrich the curriculum content and teaching quality through the professional and/or research expertise of staff and through links to external organisations.
To encourage and support students while they develop and apply subject-specific and generic skills that will facilitate life-long learning and continuing professional development.
To produce graduates who can make a significant contribution to their chosen profession.
To provide an understanding of common machine learning and AI algorithms, Statistical and computational models, and to apply these techniques to create high quality computer systems.
To produce graduates who are technical experts, but who also have an awareness of the business, social, legal and ethical contexts of IT.
To encourage exploration and enthusiasm for both the subject of computing and to encourage creativity.

Aims of the Program

Technical understanding of data science body of knowledge.
Familiarity with common DS themes and principles such as Computational and statistical thinking, mathematical foundations, Model building and assessment, Algorithms and software foundation, Data curation, Knowledge transference – communication and responsibility.
Appreciation of the interplay between theory and practice.
System-level perspective; ability to think at multiple levels of detail and abstraction.
Commitment to professional responsibility, recognizing the social, legal, ethical, and cultural issues inherent in the discipline of data science and computing.
Awareness of the broad applicability of data science, promoting dual coverage combining both data science fundamentals and applications, exploring why people turn to data to explain contextual phenomena.
Appreciation of domain-specific knowledge

PROGRAMME CONTENTS

Year 1

> Introduction to Computer Science
> Mathematics for Computing
> Fundamentals of Artificial Intelligence
> Programming Fundamentals
> Personal Development and Communication Skills
> Database Management Systems
> Algorithms and Data Structures
> IT Solutions Architecture
> Web and Mobile Development
> System Analysis and Design
> Object-Oriented Programming with C#

Year 2

Computational theory and statistics for computing
Information Management & Retrieval
Data Programming with R
Computing Group Project
Statistics for Data Science
Data Science in Python

Year 3

Computing Project
Natural Language Processing
HCI, computer graphics, and visualization
AI and Machine Learning
Big Data Analytics

ENTRY QUALIFICATIONS

Three Passes in Physical Science and Biological Science streams in a single sitting, at one of the following examinations or equivalent foreign qualifications is the minimum entry requirement.

G.C.E. Advanced Level examination conducted by the Department of Examinations, Sri Lanka.
G.C.E Advanced Level examination conducted by Pearson Edexcel, UK (London A/L).
International Advanced Level examination conducted by Pearson Edexel, UK.
G.S.E Advanced Level examination conducted by Cambridge International Examination, UK

“Non-STEM background students are required to undergo a selection test to qualify for the enrollment in the Plymouth BSc.(Hons) Data Science Program, ensuring readiness for the Plymouth program registration.”

COURSE FEE

Year 1 - 1,200,000 LKR
Year 2 - 700,000 LKR
Year 3 - 700,000 LKR
Registration Fee - 10,000 LKR
Library Fee - 5,000 LKR

Four Years (Full Time)

2,600,000 LKR

Enroll Now

Student Loan facilities are available from

Send us an inquiry to ask about payment plans and loan facilities

COURSE FEE

Semester-based Flexible Course Fee Structure, Contact us for more details +94 11 544 5000

Student Loan facilities are available from

Send us an inquiry to ask about payment plans and loan facilities

EMPLOYMENT OPPORTUNITIES

Data Scientist
Machine Learning Engineers
BI Engineers
Consultants
Web Analytics Engineers
Software Engineers
Deployment Engineers
Computer Scientists
Research Engineers
Research Scholars
Robotic Engineer

Faculty of Computing

BSc (Hons)
Data Science

Study statistical and computational methods, Python and R programming, machine learning and big data analytics in this three-year degree.

Enroll Now Explore Course

3 Years Full-time undergraduate programme

BSc (Hons) Data Science at NSBM Green University

International Degree Awarded by University of Plymouth, United Kingdom

Duration 3 Years

Study Mode Full Time

Faculty Faculty of Computing

Awarded By University of Plymouth, UK

Programme Overview

Study the mathematics, computing and models behind data science.

Build a foundation in computing and mathematics, then apply statistical modelling, machine learning and programming to data science problems.

The programme covers Python and R programming, statistics, data curation, big data analytics, natural language processing and artificial intelligence.

Group and individual projects connect the taught modules with practical work. The course draws on research-informed teaching from NSBM and University of Plymouth faculty.

Aims of the Programme

✓ Build a foundation in statistical and computational thinking, mathematics and model assessment.
✓ Develop practical data programming skills in Python and R.
✓ Apply machine learning, natural language processing and big data methods.
✓ Use group and individual projects to connect theory with practice.
✓ Consider the legal, social and ethical responsibilities of working with data.

Key Features

Explore the methods behind data science.

Study mathematics, programming and statistical methods, then apply them through data science projects.

Statistical Foundations

Build the mathematical, computational and statistical skills needed to evaluate data and models.

Data Programming

Develop data programming skills with R alongside statistical and computing methods.

Machine Learning and NLP

Study artificial intelligence, machine learning and natural language processing.

Big Data Analytics

Explore large-scale data analysis alongside information management and retrieval.

Project-Based Learning

Apply course knowledge in an emerging technologies group project and an individual computing project.

International Degree

University of Plymouth
United Kingdom

The BSc (Hons) Data Science programme is offered by NSBM Green University as a University of Plymouth, United Kingdom degree.

What You’ll Learn

Programme Contents

Move from computing foundations in Year 1 to statistics, R programming, natural language processing and an applied group project in Year 2. Year 3 covers machine learning, large language models, big data analytics and an individual computing project.

Year 01

11 modules

Introduction to Computer Science

Mathematics for Computing

Fundamentals of Artificial Intelligence

Programming Fundamentals

Personal Development and Communication Skills

Database Management Systems

Algorithms and Data Structures

IT Solutions Architecture

Web and Mobile Development

System Analysis and Design

Object-Oriented Programming with C#

Year 02

6 modules

Computational theory and statistics for computing

Information Management & Retrieval

Data Programming with R

Statistics for Data Science

Applied Group Project in Emerging Technologies

Natural Language Processing

Year 03

5 modules

AI and Machine Learning

Full stack development

Computing Individual Project

Large Language Models and Generative AI

Big Data Analytics

Your Next Step

You don’t have to wait for your results to get started.

Results Pending?

Waiting for your A-Level results?

Begin your application while your A-Level or equivalent results are pending. Final admission depends on the published entry criteria: three passes in one sitting in the Physical Science or Biological Science stream, or accepted equivalent qualifications. Non-STEM applicants must pass a selection test.

Apply With Pending Results

Career Opportunities

Explore roles in data science, machine learning, business intelligence, software and research.

Data Scientist

Machine Learning Engineer

Business Intelligence Engineer

Consultant

Web Analytics Engineer

Software Engineer

Deployment Engineer

Computer Scientist

Research Engineer

Research Scholar

Robotics Engineer

Course Fee

Flexible semester-based payment options.

NSBM provides a semester-based flexible course fee structure. Contact the university for current fee information, payment plans and student loan facilities.

Call +94 11 544 5000

Student loan facilities available from

Applications

Apply for the BSc (Hons) Data Science degree

Apply to NSBM Green University for the University of Plymouth BSc (Hons) Data Science degree.

Enroll Now Contact Admissions

Faculty of Computing

BSc (Hons)
Data Science

Study statistical and computational methods, Python and R programming, machine learning and big data analytics in this three-year degree preparing graduates for high-demand careers in the rapidly expanding AI field.

Enroll Now Explore Course

3 Years Full-time undergraduate programme

International Degree Awarded by University of Plymouth, United Kingdom

Duration 3 Years

Study Mode Full Time

Faculty Faculty of Computing

Awarded By University of Plymouth, UK

O/L or A/L results pending? Start your application now.

Students who have completed A/Ls in any stream, including those awaiting results, or students who have completed O/Ls and wish to enter through the Foundation Programme.

Click Here to Register

Programme Overview

Study the mathematics, computing and models behind data science.

Build a foundation in computing and mathematics, then apply statistical modelling, machine learning and programming to data science problems.

The programme covers Python and R programming, statistics, data curation, big data analytics, natural language processing and artificial intelligence.

Group and individual projects connect the taught modules with practical work. Research-informed teaching from NSBM and University of Plymouth faculty helps you build skills for data science careers, alongside NSBM career fairs and job portal opportunities.