De Montfort University - Data Analytics MSc/PG Dip/PG Cert

De Montfort University

Data Analytics MSc/PG Dip/PG Cert

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 business intelligence and analytics, data warehouse design and big data applications, 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 data mining techniques and methods. 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.

Key features

  • With our 50-year history of teaching computing, you will benefit from established academic expertise, as well as gaining insight into real-world problem solving from our SAS-accredited staff.
  • Enhance your employability by developing substantial knowledge and skills in the deployment of SAS industry-standard software.
  • Sharpen skills by using software and techniques such as Apache Spark and the Hadoop Distributed File System to demonstrate data mining and machine learning algorithms.
  • Access dedicated computing laboratories, fully equipped with HP dual-boot and all-in-one computers and a high-performance file server.
  • Gain an insight into real-world issues and solutions through our research groups. You will have the opportunity to attend guest lectures and seminars to expand your understanding of the impact of current research.

Entry Requirements

  • You should have the equivalent or above of a 2:2 UK bachelor’s honours degree in a relevant subject

  • If English is not your first language an IELTS score of 6.0 overall with 5.5 in each band (or equivalent) when you start the course is essential.


Career Prospects

This course prepares graduates for business intelligence and data mining roles within any target industry, and to secure a work placement. It offers a range of opportunities, such as on-campus and UK activities, overseas study, internships, faculty-led field trips and volunteering, as well as Erasmus+ and international exchanges. Data Analytics MSc students have recently taken up placements at Bosch Thermotechnology, Chai Factory,  BHGE PPS (Part of a Baker Hughes GE Company) and CEVA Logistics. DMU Works can help to hone professional skills with mock interviews and practice aptitude tests, and an assigned personal tutor will support them throughout their placement.DMU Global is an innovative international experience programme that aims to enrich your studies and expand your cultural horizons.

Course Details

The course is taught through formal lectures, informal seminars, tutorials, workshops, discussions and e-learning packages. Assessment is carried out through individual and group work, presentations, reports, projects and exams. The course is run in association with SAS, the leading independent vendor in the business intelligence industry, and students will gain substantial SAS software skills as part of their study. First semester modules introduce business intelligence, analytics and data infrastructure, while second semester modules expose students to data mining techniques and methods. An individual research project module prepares students to undertake extensive research into an aspect of big data, and/or provide an opportunity to develop and demonstrate their analytical and processing abilities in response to a given practical problem.

Year One

Data Analytics Infrastructure
Big Data Applications
Data Mining Techniques and Methods
Project proposal, Planning and project management (PPPM)
PGT Project

*The information’s are correct at the time of publishing, however it may change if university makes any changes after we have published the information. While we try our best to provide correct information, It is advisable to call us or visit university website for up to date information.

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