Program start date | Application deadline |
2024-06-25 | - |
Program Overview
Keele University's online MSc in Computer Science with Data Analytics equips students with in-demand skills in data analysis and computer science. Designed for both beginners and professionals, the program offers a flexible learning environment, world-leading faculty, and industry collaborations, preparing graduates for successful careers in data science, data analytics, and related fields.
Program Outline
MSc Computer Science with Data Analytics: Keele University
Degree Overview:
This online Master's program is designed to equip students with the knowledge and skills needed to excel in computer science and data analytics careers. No prior academic or professional experience in these fields is required for admission. The program thus caters to both individuals initiating their journey in this field and professionals seeking academic qualifications to advance their careers.
Objectives:
- Develop sought-after skills in high-demand data analysis and computer science fields.
- Prepare students for successful careers as data scientists, data analysts, and data engineers.
- Equip students with the ability to interpret and analyze data across various domains, including finance and environmental sustainability.
- Impart advanced knowledge in data visualization techniques and artificial intelligence methods.
Program Description:
- Flexible online learning environment with tutorials, discussion groups, and online forums.
- Cutting-edge research by departmental faculty, 80% rated as 'world leading' or 'internationally important'.
- Collaborative industry projects with partners like Bentley Motors Ltd.
Outline:
- Modules:
- Statistical Data Analytics and Databases
- Visualization for Data Analytics
- Mathematics for Artificial Intelligence and Data Science
- Design and Programming
- User Interaction Design
- Software Engineering with Group Project
- Web Technologies and Security
- Research and Consultancy Skills
- MSc Project Literature Review and Problem Formulation
- MSc Project
- Structure: Flexible, allowing students to continue working and earning while studying.
- Content: Focus on data management, programming languages (Python, R, Matlab), and advanced applications of data visualization.
- Schedule: Six start dates per year.
Assessment:
- Continuous assessment through coursework, assignments, and presentations.
- Final project with literature review and problem formulation.
Teaching:
- Highly interactive online learning environment.
- World-leading faculty with active research involvement.
Careers:
- High demand for data science and computer science professionals.
- Career opportunities in various sectors, including finance, healthcare, and technology.
- Potential roles include data scientist, data analyst, data engineer, and AI specialist.
Other:
- Program designed for global audience with worldwide accessibility.
- Industry-led curriculum with close ties to industry partners.
- Keele alumni discount available.
Total MSc fees: £7,440 Per 15-credit module fee: £620 If you are based in the UK or the EU, you may be eligible for a government postgraduate loan to cover the full course fees.
Entry Requirements:
UK and EU Students
(1) Minimum Academic Requirements:
- 2:2 UK undergraduate degree
- Third-class honours degree or
- ordinary degree (without honours) or equivalent professional qualification with
- minimum two years' relevant work experience .
- minimum three years' relevant computing, IT, or data management experience This will be assessed on a case-by-case basis.
(2) Work Experience Requirements:
- Work experience must be at a
- graduate level in
- managerial or professional capacity , normally in
- computing, IT, or data-related employment which may include
- development, management, or significant responsibility in the use of IT or data .
International Students
International students
should ensure their qualifications are
Language Proficiency Requirements
- IELTS: Overall score of
- 6.0 with no individual component below
- 5.5 .
- 79
- 50
- Cambridge (CAE & CPE): Overall
- 169 with minimum scores of
- 162 in Listening, Reading, Writing, and Speaking.
- Duolingo: Overall
- 95 including minimum
- 85 in each element.
- Degree qualification taught in English and completed within the last two years.
Technical Requirements
- desktop computer or laptop
- Windows, Mac, or Linux device is highly recommended.
- Anaconda for Design and Programming
- XAMPP for Web technologies
- WEKA for Statistical Data Analytics and Databases