| Program start date | Application deadline |
| 2024-09-25 | - |
| 2024-09-01 | - |
Program Overview
The MSc Data Science program at the University of Exeter is designed for graduates from non-computing backgrounds. The program offers a conversion opportunity to learn data science, leveraging practical applications and research methodologies. It equips graduates with technical skills to extract actionable insights from data and prepares them for careers in various data-driven industries.
Program Outline
Degree Overview:
This MSc Data Science program is a conversion program designed for graduates from non-computing backgrounds who aspire to work with data in various industries. It caters to individuals interested in learning the underlying theory of Data Science alongside practical implementation and application methods.
Key Objectives:
- Equip students with technical skills to understand, manage, and store large datasets.
- Offer a research project component involving one-on-one mentorship with active data scientists and leaders in the field.
Outline:
Program Structure:
- Duration: 1 year full-time, 2 years part-time
- Discipline: Data Science and Analytics
Course Content:
- Compulsory Modules:
- COMM514 Research Project (60 credits)
- ECMM443 Introduction to Data Science (15 credits)
- ECMM445 Learning from Data (15 credits)
- COMM108 Data Systems (15 credits)
- ECMM422 Machine Learning (15 credits)
- Optional Modules:
- COMM511 Statistical Data Modelling (15 credits)
- ECMM409 Nature-Inspired Computation (15 credits)
- ECMM410 Research Methodology (15 credits)
- ECMM423 Evolutionary Computation & Optimisation (15 credits)
- ECMM426 Computer Vision (15 credits)
- ECMM447 Social Networks and Text Analysis (15 credits)
- ECMM450 Stochastic Processes (15 credits)
- ECMM461 High Performance Computing (15 credits)
- MTHM033 Statistical Modelling in Space and Time (15 credits)
- MTHM508 Bayesian Philosophy and Methods in Data Science (15 credits)
- SOCM033 Data Governance and Ethics (15 credits)
- COMM510 Multi-Objective Optimisation and Decision Making (15 credits)
- COMM109 Programme with Python (15 credits)
- BEMM190 Digital Transformation (15 credits)
Course Schedule:
- Part-time Students:
- Year 1: Complete at least 4 modules (60 credits), including ECMM443 Introduction to Data Science and ECMM444 Fundamentals of Data Science.
- Year 2: Complete at least 4 modules (60 credits), including ECMM451 Data Science Research Project.
- Note: Not all modules are available every year, and new modules may be introduced.
Assessment:
Assessment Methods:
- Essays
- Closed book tests
- Problem-solving exercises
- Web-based tool analysis and investigation
- Mini-projects
- Extended essays on specialized topics
- Individual and group presentations
Teaching:
Teaching Methods:
- Lectures
- Workshops
- Online materials
Faculty:
- All academic staff are active in internationally recognized scientific research across a wide range of topics.
- Module leads are renowned in their field, holding prestigious fellowships and awards, and consult with major companies.
Unique Approaches:
- The program integrates cutting-edge quantitative methods with real-world social science issues through the Q-Step Centre for Applied Social Data Analysis.
Careers:
Potential Career Paths:
- Data Scientist
- Data Analyst
- Machine Learning Engineer
- Business Analyst
- Research Scientist
Opportunities:
- The program prepares students for careers in various industries, including business, research, and technology.
- The program's focus on practical skills and real-world applications makes graduates highly sought-after by employers.
Outcomes:
- Graduates are equipped with the skills and knowledge to succeed in data-driven roles.
- The program provides a strong foundation for further study in data science or related fields.
Other:
- The program is offered by the University of Exeter, a top-ranked university in the UK.
- The program is part of the Department of Computer Science, which is ranked among the top ten in the UK.
- The program has excellent facilities spanning a wide range of machine types and software ecosystems.
- The program offers dedicated careers support through the Career Zone team.
£13,700 full-time; £6,850 part-time International fees per year:
£29,100 full-time; £14,550 part-time
University of Exeter
Overview:
The University of Exeter is a public research university located in Exeter, Devon, England. It is a member of the Russell Group of leading research-intensive universities in the UK. The university is known for its strong academic reputation, particularly in the fields of law, business, and environmental sciences.
Services Offered:
The University of Exeter offers a wide range of services to its students, including:
Student website:
Provides access to information and resources for current students.ELE (Exeter Learning Environment):
An online platform for accessing course materials, submitting assignments, and communicating with instructors.Email web access:
Allows students to access their university email accounts.Payment portal:
Enables students to make payments for tuition fees and other expenses.MyExeter (student app):
A mobile app that provides access to various student services and information.Library:
Offers a comprehensive collection of books, journals, and other resources.SID (Student Information Database):
A system for managing student records and accessing personal information.Timetable:
Allows students to view their class schedules.Programme and module information:
Provides details about academic programs and courses.Student Life and Campus Experience:
The University of Exeter offers a vibrant and diverse student experience. Students can expect:
Active student societies:
A wide range of clubs and societies cater to various interests.Sports facilities:
The university has excellent sports facilities, including a gym, swimming pool, and sports fields.Campus events:
Regular events and activities are organized throughout the year, including concerts, lectures, and social gatherings.Accommodation options:
The university provides a variety of accommodation options for students, both on and off campus.Wellbeing services:
The university offers a range of support services for student wellbeing, including counseling and mental health support.Key Reasons to Study There:
Excellent academic reputation:
The University of Exeter is consistently ranked among the top universities in the UK.World-leading research:
The university is renowned for its research, particularly in areas such as environmental sciences, law, and business.Vibrant student life:
The university offers a diverse and engaging student experience with a wide range of clubs, societies, and events.Beautiful campus setting:
The university's campuses are located in picturesque settings, with easy access to the city of Exeter and the surrounding countryside.Strong career support:
The university provides excellent career support services to help students find employment after graduation.Academic Programs:
The University of Exeter offers a wide range of undergraduate and postgraduate programs across various disciplines, including:
Arts and Humanities:
English, History, Classics, Philosophy, Music, Drama, and more.Social Sciences:
Law, Politics, Economics, Sociology, Psychology, and more.Science and Engineering:
Biology, Chemistry, Physics, Mathematics, Computer Science, and more.Medicine and Health:
Medicine, Nursing, Dentistry, Pharmacy, and more.Business and Management:
Business Administration, Finance, Marketing, Accounting, and more.Other:
- The university has three main campuses: Streatham Campus, St Luke's Campus, and Penryn Campus.
- The university is committed to sustainability and has a strong focus on environmental issues.
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The university has a strong international reputation and attracts students from all over the world.
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Academic Programs:
While the context mentions some general disciplines, it does not provide a detailed outline of the key academic programs and strengths of the institution.
Entry Requirements:
Applicants are required to have at least a 2:1 degree. Applicants are also required to have A Level Mathematics at Grade A or equivalent. This programme has been designed to allow students from a wide range of backgrounds to pursue a career in data science. We may consider applications with non-standard qualifications where there is evidence of exceptional performance in modules relevant to the programme of study, significant relevant work experience, or relevant professional qualifications.
Language Proficiency Requirements:
International students need to show they have the required level of English language to study this course. The required test scores for this course fall under Profile B3.
