MSc in
MSc in Data Analytics
QUB Faculty of Engineering and Physical Sciences (EPS)
Key Information
Campus location
Belfast, United Kingdom
Languages
English
Study format
On-Campus
Duration
1 - 2 year
Pace
Full time, Part time
Tuition fees
EUR 8,360
Application deadline
31 Aug 2023
Earliest start date
Sep 2023
Introduction
Data Analytics is an exciting field of rapid developments. Data is everywhere and continuing to grow massively, creating huge growth in demand for qualified experts to be able to extract the real benefit from the data.
The role of a data scientist is highly diverse overlapping many areas from computer science, to the fundamentals of mathematics, statistics, modelling and analytics while also requiring the right skills to be able to see the detail, solve the problem (having specified the problem!), and communicate effectively the findings to colleagues to empower them to make decisions.
The diversity of data analytics opens up many job opportunities from working in software companies, healthcare, banking, insurance, policing, tech companies to applying your knowledge to intelligent buildings and behaviour analytics of customers.
The programme provides a balanced route to learning through a blend of academic study and lab sessions, with a heavy focus on practical engagement with industry. In the first and second semesters, you will study 6 modules full-time which include opportunities for blended and collaborative learning. In the third semester you will undertake a significant industry based project.
Course Structure
The aim of the programme is to offer a multi-disciplinary education in data analytics that prepares graduates with key knowledge, skills and competencies necessary for employment in analytics and data science positions. In particular, the programme aims to provide students with:
Comprehensive knowledge and understanding of the fundamental principles of statistics and computer science that underpin analytics.
Advanced knowledge and practical skills in the theory and practice of analytics.
The necessary skills, tools and techniques needed to embark on careers in data analytics and data science.
Skills in a range of practices, processes, tools and methods applicable to analytics in commercial and research contexts.
Timely exposure to, and practical experience in, a range of current software packages and emerging new applications of analytics.
Opportunities for the development of practical skills in a commercial context.
Duration
2 years (Part Time)/1 year (Full Time)
Admissions
Scholarships and Funding
Applicants are advised to explore fully the funding opportunities for studying in the UK, for example, international students may find funding is available from sources within their own countries.
The funding set out in this section includes funding available from the University and from some external sources. Information provided in this section is intended to highlight some sources of funding: it is not a comprehensive list of funding sources.
Applying for funding which is available from the University is part of an integrated, online, postgraduate admissions process. An offer of a place at Queen’s does not constitute an offer of financial support.
For 2023 entry, Faculties and Schools in the University will be setting their own deadlines for postgraduate applications for admissions, studentships and scholarships. Applicants who wish to apply for postgraduate funding available from the University for 2023 entry should refer to the relevant Faculty and School websites for information.
- The Department for the Economy will provide a tuition fee loan of up to £6,500 per NI / EU student for postgraduate study.
- A postgraduate loans system in the UK offers government-backed student loans of up to £11,836 for taught and research Masters courses in all subject areas.
Curriculum
The aim of the programme is to offer a multi-disciplinary education in data analytics that prepares graduates with key knowledge, skills and competencies necessary for employment in analytics and data science positions. In particular, the programme aims to provide students with:
Modules
- Data Analytics Fundamentals
- Databases and Programming Fundamentals
- Data Mining
- Machine Learning
- Frontiers in Data Analytics
- Analytics in Action
- Individual Industry Based Project
- Indicative number of modules per semester: 3
Program Tuition Fee
Career Opportunities
Industry forecasts indicate that Data Analytics is a growing field internationally, with job opportunities set to increase exponentially predicting growths of 160% between 2013 and 2020 (eSkills report, Big Data Analytics 2013-2020). There is a current shortage in qualified staff for these roles, which is also the case in Northern Ireland where there have been a number of recent investments and expansions in the Data Analytics sector.
The course is designed to meet the needs of Industry where graduates have the right combination of the skills and expertise in both computer science, mathematics and statistics along with the experience they gain in their individual industry based project to be highly sought after for employment.
Queen's postgraduates reap exceptional benefits. Unique initiatives, such as the leadership and executive programmes alongside sterling integration with business experts helps our students gain key leadership positions both nationally and internationally.