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Data Analytics MSc/PG Dip/PG Cert

De Montfort University

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Course options

  • Qualification

    MSc - Master of Science

  • Location

    De Montfort University

  • Study mode

    Full time

  • Start date

    JAN, SEP

  • Duration

    1 year

Course summary

Overview

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.

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.
  • Boost your career prospects through an optional one-year placement year in industry, where you will be able to build contacts and transferable skills. Past students have completed placements with management consultancies, retailers and companies including Bosch Thermotechnology.

Teaching and assessments

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.

The course is run in association with SAS, the leading independent vendor in the business intelligence industry, and you will gain substantial SAS software skills as part of your study.

Graduate Careers

This course prepares graduates for business intelligence and data mining roles within any target industry. There is a very high market demand for SAS expertise, and our graduates will be able to take up such opportunities. You will also be well placed to take up more general management and business information systems development roles within industry, and to undertake academic research in this field.

Tuition fees

Students living in United States
(international fees)

£ 14,600overall cost

Tuition fees shown are for indicative purposes and may vary. Please check with the institution for most up to date details.

University information

De Montfort University

  • University League Table

    81st

  • Campus address

    De Montfort University, The Gateway, Leicester, Leicestershire, LE1 9BH, England

Subject rankings

  • Subject ranking

    50th out of 110 7

  • Entry standards

    / Max 236
    111 46%

    89th

    5
  • Graduate prospects

    / Max 100
    86 86%

    41st

  • Student satisfaction

    / Max 5
    3.97 79%

    47th

    27

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