Program Overview
This MSc Data Science and Big Data Analytics program aims to equip students with the skills to convert data into knowledge for informed decision-making. Emphasizing interdisciplinary development, it covers statistics, programming, and data analysis technologies. The program consists of six core modules and a dissertation project, fostering critical evaluation and ethical considerations in the field. Graduates are prepared for a range of careers in industries reliant on data-driven insights.
Program Outline
Degree Overview:
This MSc Data Science and Big Data Analytics program is designed as a conversion Masters, offering individuals the opportunity to pursue a career in Data Science, regardless of their previous field of study. It aims to equip students with the necessary skills, knowledge, tools, and technology for a smooth transition into this specialized area. The program recognizes the evolving nature of Data Science, emphasizing the crucial role of responsible and ethical data usage in a world increasingly reliant on personalized and aggregated data. It focuses on developing skills to convert data into understandable information and knowledge for informed decision-making in various sectors, including government, corporations, and organizations. The course emphasizes interdisciplinary skill development, covering statistics, software programming, and modern data analysis and visualization technologies.
Outline:
The program structure encompasses 6 core modules (20 credits each), followed by a dissertation project (60 credits), totaling 180 credits.
Modules:
- Postgraduate Study and Research Methods
- Advanced Data Structures and Algorithms
- Database Systems and Data Analytics
- Big Data Challenges and Opportunities
- Data Analysis and Visualisation
- Machine Learning
- Dissertation
Assessment:
Assessment is a combination of coursework projects, culminating in a 15,000-20,000 word final dissertation.
Teaching:
Wrexham University is dedicated to student support and maximizing academic potential. They offer workshops and support sessions focusing on academic writing, note-taking, and assignment preparation. Students can access academic skills tutors for assistance with university-related tasks.
Careers:
This degree opens doors to various career paths in sectors such as finance, scientific research, health, academia, retail, information technology, e-commerce, and government.
Other:
The program highlights the importance of critical evaluation of security, legal, ethical, and privacy issues surrounding big data technologies and applications, along with considering their environmental impact. The course faculty comprises leading research-active professionals who provide guidance and expertise throughout the program.
Entry Requirements:
Normal entry requirements for full time and part time will be one of:
- A Bachelor of Science Honours degree, normally 2:2 or above, in a relevant subject area for example Computing, Maths etc.,
- Academic qualifications in other subject areas or at a lower level than honours degree but supported by a maturity of experience at a professional level in a relevant specialist area.
- Equivalent qualifications of another overseas country which are deemed satisfactory by the program team.