Data Analytics MSc
De Montfort University
Key Information
Campus location
Leicester, United Kingdom
Languages
English
Study format
On-Campus
Duration
12 months
Pace
Full time
Tuition fees
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Application deadline
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Earliest start date
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Scholarships
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Introduction
Data Analytics MSc
Professionals with the ability to interrogate datasets by applying analytical techniques to describe and predict business performance are in high demand worldwide. Designed to equip you with the technical expertise needed for a career in industry, this course will prepare you for roles in analytics by developing your technical expertise and professional skills in business intelligence.
The first semester modules focus on core topic areas such as statistics, database design and programming, enabling you to gain insights into large multivariate datasets and apply your problem-solving abilities to explore business opportunities and challenges faced by data scientists when using business intelligence systems.
In the second semester you will apply your technical knowledge and further progress your analytical expertise by focusing on specific data science subject areas such as big data, data mining and business intelligence. You will also be encouraged to demonstrate your technical and analytical abilities in response to real-world problems during your final-semester individual project.
Our graduates leave with sought-after skills for business intelligence and data mining roles within any field of data science. Opportunities also exist for further academic study towards a doctorate degree and a career in research.
Admissions
Scholarships and Funding
Curriculum
First semester
- Statistics
- Business Intelligence Systems Concepts and Method
- Research Methods
- Data Warehouse Design and OLAP
Second semester
- Business Intelligence Systems Application and Development
- Big Data Analytics
- Data Mining Techniques and Applications
- Analytics Programming
Third semester
- Individual project
Program Tuition Fee
Program delivery
Teaching will normally be delivered through formal lectures, informal seminars, tutorials, workshops, discussions and e-learning packages. Assessment will usually be carried out through a combination of individual and group work, presentations, reports, projects and exams.