GBP 30,770 / Per year
Data Science (with Industrial Experience) MSci Hons
Lancaster UniversityLancaster, United Kingdom
Sep 1, 2027
On campus
4 years
Create a free account to unlock full content!
By registering, you agree to our Privacy Statement and Terms and Conditions.
Program Details
- Degree
- Masters
- Major
- Artificial Intelligence | Data Science | Software Development
- Area of study
- Information and Communication Technologies | Mathematics and Statistics
- Timing
- Full time
- Course Language
- English
Intakes
Program Overview
Overview of the Data Science Program
The Data Science program at Lancaster University is a four-year MSci degree that combines computer science and statistics to provide students with a comprehensive understanding of data analysis, problem-solving, and quantitative reasoning. The program is designed to equip students with the skills and knowledge required to thrive in a career in data science, with a focus on hands-on experience with industry-standard software and tools.
Program Structure
The program is divided into four years, with each year building on the previous one to provide a progressive and in-depth understanding of data science. The first year introduces students to fundamental principles and concepts in computer science and statistics, while the second year delves deeper into specialized topics such as linear algebra, probability, and statistics. The third year allows students to specialize their interests further by choosing from a range of optional topics, and the fourth year provides master's-level training with a focus on independent and critical study.
Core Modules
The program includes a range of core modules that provide a foundation in data science, including:
- Digital Systems
- Fundamentals of Computer Science
- Matrices and Calculus
- Probability and Statistics
- Software Development A
- Software Development B
- HCI: Designing for People
- Multivariate Probability and Statistics
- Project Skills
- Secure Systems and Data Engineering
Optional Modules
In addition to the core modules, students can choose from a range of optional modules to specialize their interests, including:
- Applied Data Science
- Artificial Intelligence and Algorithms
- Extended Reality
- Internet Applications
- Advanced Programming
- Changepoint and Time Series Analysis
- Computer Science Education
- Computer Vision
- Digital Health
- Engineering and Verifying Secure Distributed Systems
- Environmental Statistics
- Languages and Compilation
- Machine Learning
- Medical Statistics
- Natural Language Processing
- Quantum Computing
- Secure Artificial Intelligence
- Secure Cyber Physical Systems
- Statistical Inference
- Stochastic Processes
- Supervised Learning
- Sustainable Computing
Careers and Placement
The program includes a 10-week industry placement in the final year, which provides students with valuable real-world experience and the opportunity to apply their skills and knowledge in a professional setting. The university also offers a range of careers advice and support, including an annual careers fair and opportunities to network with employers.
Entry Requirements
The program has a range of entry requirements, including:
- A levels: AAA, including Mathematics grade A or Further Mathematics grade A
- Access to HE Diploma: Considered on a case-by-case basis
- Advanced Skills Baccalaureate Wales: Accepted in place of one A level
- BTEC Extended Diploma: DDD accepted alongside A level Mathematics grade A
- International Baccalaureate: 36 points overall, including 16 points from the best 3 HL subjects
- Scottish Highers and Advanced Highers: Accepted on a case-by-case basis
- T levels: Only accepted alongside A level Mathematics grade A
- GCSE requirements: English Language grade 4/C
- English language requirements: IELTS score of 6.0 overall, with at least 5.5 in each component
Fees and Funding
The program has a range of fees and funding options, including:
- Home fees: 」9,790 per year
- International fees: 」30,770 per year
- Scholarships and bursaries: Available to eligible students, including the Lancaster Bursary and the Undergraduate Excellence Scholarship
Similar Courses
The university offers a range of similar courses, including:
- Computing and Data Science
- Computer Science
- Cyber Security
- Data Science
- Management and Digital Technologies
- Mathematics with Computer Science
- Software Engineering
Important Information
The university reserves the right to make changes to the program, including the curriculum, fees, and entry requirements. Students are advised to check the university's website for the latest information and to read the university's charter and student policies.
About University
Lancaster University
Overview:
Lancaster University is a public research university located in Lancaster, England. It is consistently ranked among the top 10 universities in the UK and is recognized for its high-quality teaching, research, and student experience.
Student Life and Campus Experience:
Lancaster University offers a vibrant and diverse campus experience. Students can enjoy a range of facilities, including a library, sports center, and arts venues. The university also has a strong sense of community, with a variety of student societies and clubs to join.
Key Reasons to Study There:
High Rankings and Reputation:
Lancaster University is consistently ranked among the top 10 universities in the UK, demonstrating its academic excellence.Excellent Teaching and Learning:
The university is known for its high-quality teaching and learning, with a focus on student engagement and support.Vibrant Student Life:
Lancaster University offers a wide range of opportunities for students to get involved in extracurricular activities, including sports, societies, and arts events.Beautiful Campus:
The university is situated on a beautiful campus with modern facilities and green spaces.Strong Career Support:
Lancaster University provides excellent career support services to help students prepare for their future careers.Academic Programs:
Lancaster University offers a wide range of undergraduate and postgraduate programs across various disciplines, including: * Arts and Social Sciences * Health and Medicine * Management School * Science and Technology