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Data Analytics PgDip: Online Distance Learning

University of Glasgow

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University of Glasgow

Course options

  • Qualification

    Postgraduate Diploma

  • Location

    University of Glasgow

  • Study mode

    Distance / Online

  • Start date

    01-SEP-25

  • Duration

    24 months

Course summary

While the amount of data being produced is proliferating at a staggering rate, the skills to extract information and the value we receive from it are both relatively scarce. If you are looking to start a career in data science, or even further your current career, our Online Data Analytics MSc will provide you with vital skills required to develop your modelling and data handling expertise. You will gain a firm grounding in the principles of learning from data sets, whilst at the same time getting hands-on experience handling, analysing and visualising data. which will help you to realise your true potential while making you in demand in the modern workplace.

WHY THIS PROGRAMME

  • The Statistics Group at the University of Glasgow is internationally renowned for its research excellence. Students are able to benefit from this by learning from academics whose expertise covers the analysis of data from a wide range of applications.
  • Designed for part time study, this programme allows you to gain an MSc degree from a leading university while you are still in full-time employment. Plus, from day one you can start to put your new knowledge to the test at work. You won't have to wait until you've graduated to make a real difference in the workplace.
  • A faster study route, which lets you complete the programme in two years, is also available.
  • You will have the freedom to work at your own pace and access to a wide range of learning tools including rich interactive reading material and tutor-led videos. You will also be able to arrange tailored one-to-one sessions with our academic team.

KEY OUTCOMES

  • Demonstrate thorough understanding of the concepts, principles, theories and methods of probability, statistics and machine learning.
  • Developing strategies for modelling and analysing potentially large and complex data.
  • Communicate and visualise insights gained from data.
  • Design and develop software to perform data management, data extraction, statistical analyses and, as far as possible, automate these, using different tools and programming languages such as R, Python, Spark and TensorFlow.

CAREER PROSPECTS

Data is becoming an ever increasing part of the modern world, yet the talent to extract information and value from complex data is scarce. There is a massive shortage of data-analytical skills in the workforce. Statistical analysis and data mining is ranked 2nd in the Top 10 Most In-Demand Hard Skills 2018 by LinkedIn. This programme opens up a multitude of career opportunities and/or boosts your career trajectory.

Our graduates have an excellent track record of gaining employment in many sectors including medical research, the pharmaceutical industry, finance and government statistical services, while others have continued to a PhD.

Application deadline

16 August 2024, 09 September 2024

Tuition fees

Students living in United States
(International fees)

£ 5,000per year

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

University information

University image

University of Glasgow

University of Glasgow

  • University League Table

    28th

  • Campus address

    University of Glasgow, The Fraser Building, 65 Hillhead Street, Glasgow, Glasgow, City Of, G12 8QQ, Scotland

VIEW PROFILE
A wide range of international scholarships are available including International Excellence scholarships and postgraduate awards.
Meet students from across the university with over 250 clubs and societies available – ranging from international student societies to the Baking Society.
Pre-sessional English language provision available prior to starting university, and English language support options throughout the duration of study.

Subject rankings

  • Subject ranking

    Computer Science

    16th out of 117

    14th out of 65 2

  • Entry standards

    / Max 227
    214 94%

    5th

  • Graduate prospects

    / Max 100
    94.0 94%

    9th

    14

  • Student satisfaction

    / Max 4
    2.94 73%

    83rd

    8

  • Entry standards

    / Max 234
    217 93%

    5th

  • Graduate prospects

    / Max 100
    84.0 84%

    22nd

    7

  • Student satisfaction

    / Max 4
    3.11 78%

    33rd

    14

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