- University of Lancashire, UK
MSc Data Science
Transform your future with our MSc Data Science conversion course. Explore the latest in data analytics, big data, and machine learning tools and techniques. This course will enable you to expand your skillset, equipping graduates with the tools needed to apply a range of analytical techniques across a broad range of disciplines. Key modules explore topics like Big Data, Machine Learning, and Data Visualisation, enabling you to thrive in a fast-evolving digital world. Graduates of MSc Data Science course are well-equipped to excel in roles such as data scientist, machine learning engineer, and data analyst, driving innovation and decision-making in a data-driven world.
Duration
12 Months
Intakes
July, September, March
Total
LKR 325,000 + 1000 GBP
Study Model
Physical Classes
Program Overview
This programme provides a strong foundation in modern data science techniques, including programming, statistics, and data mining, delivered through research-informed teaching and
industry practice. Students will explore key areas such as machine learning, big data, and data visualisation, developing the ability to analyse complex datasets and generate meaningful solutions.
With opportunities for optional industry placements and guidance from recognised academics and industry experts, students can enhance their professional network and career readiness. The programme culminates in a substantial independent project, enabling students to apply their knowledge, strengthen critical thinking, and demonstrate practical expertise in data science.
1929
Since
Approved
British foundation program
20+
Years of Excellence
100%
Pathway Guarantee
Modules
Data Concepts, Ethics and Governance
This module focuses on the essential concepts needed to work with data in intelligent systems. On this module you will:
- Explore the theory behind data and its preparation
- Develop your investigative and analytical skills for effective data management
- Learn about ethical and governance responsibilities regarding AI
- Enhance your critical evaluation and communication skills.
Computational Maths and Statistics
This module teaches key math and statistics for modern computer systems. It gives practice applying statistics to real-world problems. It will also improve your communication skills using complex data and will build the skills needed to analyze and evaluate statistical methods.
Machine Learning and Data Mining
This module covers data mining and predictive modeling in machine learning. It will build your problem-solving skills, teach you how to handle handling incomplete data, develop evaluation skills, and improve presenting data insights.
Programming For the Data Scientist
This module covers programming fundamentals for Data Science. The module aims to:
- Introduce you to a widely used programming language for Data Science.
- Build your programming skills and proficiency with software libraries for data preparation and analysis.
- Develop your practical problem-solving skills for Data Science applications.
- Encourage critical reflection on the role of a data scientist.
Big Data (Tools and Techniques)
On this module you'll focus on Big Data and the tools and techniques for efficiently and securely handling large datasets. The aims are to:
- Develop your practical skills in big data storage tools.
- Provide knowledge of tools and techniques for distributed data processing.
- Enhance your analytical and critical thinking skills in Big Data.
- Improve your understanding of security and privacy issues in Big Data.
Data Investigation and Visualisation
On this module you'll focus on data visualization. The module will:
- Develop your collaborative and reflective skills in team-based data science projects.
- Enhance your understanding of pattern visualization and its role in exploring and presenting data.
- Promote awareness of human perception and cognitive biases in visualizing and communicating data insights.
- Improve your overall data visualization skills.
Master's Project
The aim of this project is to conduct an extensive piece of work focused on a challenging topic relating to User Experience. It intends to provide you with the autonomy to advance skills and demonstrate a deeper understanding of the subject area you are interested in.
Future Careers in Data Science
An MSc in Data Science opens doors to careers in machine learning, Data governance and Data Engineering, analysis and visualisation. Discover where Data Science can take you.
Graduating with an MSc in Data Science equips you with the skills to work in data centric roles across a broad range of elds like machine learning, healthcare analytics, financial modelling and more. Data science expertise is valued worldwide, giving you the chance to work in thriving industries anywhere. Graduates on our computing focused courses stand out, equipped with hands-on experience and advanced analytics—skills that employers highly value in this evolving landscape. With career support and industry connections, you’ll be well-equipped to make an impact from day one.
Scholarship Information
Scholarships are available subject to terms and conditions, Please get in touch with your program counsellor.
Note: Contact Counselor for specific details on the entry criteria
Admission Requirements
The British MSc Data Science programme is designed for individuals passionate about elevating their expertise in data science and caters to a diverse audience. It welcomes UCL Alumni, bachelor’s degree holders with a minimum second-class lower division and professionals holding
qualifications* equivalent to a UK Degree, such as CIM, SLIM, CIMA, ACCA*. Moreover, candidates with relevant work experience*, demonstrating their aptitude for mastering master’s-level studies, are also strongly encouraged to apply. (*Conditions Apply)
Note: Specific subject prerequisites may apply depending on your chosen degree pathway at University of Lancashire.