| Program start date | Application deadline |
| 2024-10-01 | - |
Program Overview
The MSc Data Science program at Loughborough University equips graduates with the skills and knowledge to pursue careers in data science, data analysis, data management, or data stewardship. The program combines theoretical knowledge with practical applications, emphasizing problem-based learning and industry collaboration. Graduates are prepared for careers in various data-driven fields, including data analytics, management, and stewardship.
Program Outline
Degree Overview
Overview:
The MSc Data Science program aims to equip graduates from diverse backgrounds with the skills and knowledge needed to pursue careers in data science, data analysis, data management, or data stewardship. This program focuses on problem-based learning and combines theoretical knowledge with practical applications.
Objectives:
The program seeks to:
- Provide students with a comprehensive understanding of data science, including its application in various sectors and at different levels within organizations.
- Equip students with the necessary skills to use data to solve problems and inform decision-making.
- Develop students' abilities in critical thinking, problem-solving, and analytical skills related to data.
- Prepare students for careers in data-driven fields, including data analytics, management, and stewardship.
- Foster an understanding of the ethical and governance considerations in data science.
Description:
The program features a unique curriculum that combines the following elements:
- Core Data Science Subjects: Students will acquire a solid foundation in data science through core modules such as Programming for Data Science, Introduction to Data Science, and Data Governance and Ethics.
- Optional Focus Areas: Students can choose to focus on specific areas of data science, such as business data analytics, data mining, big data analytics, or applied machine learning.
- Problem-Based Learning: The program emphasizes the application of theoretical knowledge to real-world scenarios through case studies, projects, and practical assignments.
- Industry Collaboration: Students have the opportunity to work on projects in collaboration with industry partners, gaining valuable direct experience.
- State-of-the-Art Facilities: Students will have access to modern computing facilities, including dedicated laboratories for data science and artificial intelligence.
Outline
Program Content:
The program curriculum covers a wide range of topics related to data science, including:
- Data analysis and visualization
- Statistical methods
- Machine learning
- Data mining
- Big data analytics
- Data ethics and governance
- Research methods
- Software tools and programming languages
Structure:
The program follows a full-time (1 year) or part-time (2 years) structure, depending on your preference.
Course Schedule:
The full-time program consists of two semesters, with course modules being offered in each semester. The part-time program runs in parallel with the full-time program, allowing students to adapt the pace of study to their individual needs.
Individual Modules:
The program offers a range of modules, including:
- Semester 1: Data Governance and Ethics, Programming for Data Science, Introduction to Data Science, and one optional module.
- Semester 2: Research Methods, Data Mining, and three optional modules.
- Summer: Data Science Project (compulsory).
Assessment
Assessment Methods:
The program uses a variety of assessment methods, including:
- Exams
- Coursework
- Class presentations
- A dissertation
Teaching
Teaching Methods:
The program utilizes various teaching methods, including:
- Lectures
- Tutorials
- Independent study
- Group work
- Workshops
- Practical sessions
- Access to online materials
Faculty:
The program benefits from the expertise of Loughborough University's academics, who are actively involved in research and have extensive industry experience.
Unique Approaches:
The program emphasizes problem-based learning and industry collaboration, offering students a hands-on learning experience.
Careers
Career Paths:
The program prepares graduates for careers in various data-driven fields, including:
- Data analyst
- Data scientist
- Data engineer
- Business intelligence analyst
- Statistician
- Research scientist
Career Opportunities:
Graduates can pursue careers in various industries, such as:
- Technology
- Finance
- Healthcare
- Retail
- Government
- Research
Career Outcomes:
The program boasts a strong track record of graduates securing employment in leading organizations.
UK fee: £13,000 Full-time degree per annum International fee: £28,750 Full-time degree per annum
Entry Requirements:
UK Students:
- A 2:2 honours degree (or equivalent international qualification) in any discipline (except computer science).
International Students:
- A 2:2 honours degree (or equivalent international qualification) in any discipline (except computer science).
Language Proficiency Requirements:
- English Language Proficiency:
- All applicants must demonstrate proficiency in English.
- Applicants whose first language is not English must achieve a minimum score of 6.5 in the IELTS test, with a minimum of 6.0 in each component.
- Applicants may also be eligible if they have completed a recognised English language test within the last two years with the required score.
Additional Notes:
- Students with alternative qualifications or relevant work experience may be considered on a case-by-case basis.
- Applicants are encouraged to contact the Department of Computer Science for further information.
