This Master's degree in Data Analytics is designed to equip you with the technical expertise and professional skills needed for a career in data science. Professionals who can analyse datasets using analytical and machine learning techniques to understand and predict business performance are in high demand globally. The course focuses on developing your skills in business intelligence and data-driven decision-making. The first semester covers core topics like business intelligence, analytics, data warehousing, time series forecasting, and big data applications. You'll learn to gain insights from large datasets and apply problem-solving skills to business challenges. The second semester builds on this by focusing on specific data science areas such as statistical modelling, research methods, data mining, and machine learning. A significant part of your learning will involve applying your knowledge to real-world problems, culminating in an individual project. Upon completion, you will possess sought-after skills for roles in business intelligence, data mining, and applied machine learning. The program also opens pathways for further academic study, including doctoral degrees and research careers.
The course is structured into modules, with teaching typically delivered through lectures, seminars, tutorials, workshops, discussions, and e-learning. Assessment methods include individual and group work, presentations, reports, projects, and exams. The curriculum is developed in association with SAS, ensuring you gain substantial skills in their industry-standard software.
The MSc in Data Analytics equips you with sought-after skills for a variety of roles in the data science field. The program is designed to enhance your employability and prepare you for industry challenges.
If you do not meet the English language requirements, pre-sessional English language tuition is available through the British Council-accredited Centre for English Language Learning (CELL).
Fees are subject to review and may change for subsequent academic years.
SAS software skills development is a key feature, developed in association with SAS, a leader in business intelligence.
Applicants should have a minimum 2:2 British Honours degree in a relevant subject, or an equivalent international qualification. Extensive industry experience may be considered for those without formal academic qualifications.
International applicants need an IELTS overall score of 6.0, with a minimum of 5.5 in each band. Pre-sessional English language tuition is available if these requirements are not met.
The tuition fee for international students for the 2025/26 intake is £18,100 per year. For the 2026/27 intake, it will be £18,600 per year.
Graduates are prepared for roles such as Data Scientist, Business Intelligence Analyst, Data Analyst, Machine Learning Engineer, and Data Miner. An optional one-year industry placement scheme is also available.
You can apply directly through the DMU online portal. Ensure you check entry requirements, prepare necessary documents like transcripts and English test results, and then complete and submit the online application.