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MSc PGDip PGCert Data Analytics

  • DeadlineStudy Details: MSc: 36 or 24 months part‑time PgDip: 24 months part‑time PgCert: 12 months part‑time

Masters Degree Description

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.

Entry Requirements

2.1 Hons (or non-UK equivalent) in any subject with a substantial mathematics component (at least equivalent to Level-1 courses in Mathematics and Level-2 courses in Calculus and Linear Algebra at the University of Glasgow). Graduates who have A-Level or Higher Mathematics, or equivalent, may also be admitted to the programme.

Graduates who achieved 2.2 Hons (or non-UK equivalent), but who have at least two years of relevant professional experience which involved a significant amount of programming, data management, data analysis or mathematical modelling may also be admitted to the programme. Such applicants may be required to complete an interview.

Previous study of Statistics or Computing Science is not required.

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Fees

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Student Destinations

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. 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. Recent graduates have been employed by Lloyds Banking Group, Equifax, Kohler, Moodys and Globality.

Module Details

Data Analytics Project (ODL)
Advanced Predictive Models (ODL)
Data Mining and Machine Learning I: Supervised and Unsupervised Learning (ODL)
LEARNING FROM DATA (ODL)
Predictive Modelling (ODL)
R Programming (ODL)
Data Analytics in Business and Industry (ODL)
Data Management and Analytics using SAS (ODL)
Data Mining and Machine Learning II: Big Data and Unstructured Data (ODL)
Data Programming in Python (ODL)
Large-Scale Computing for Data Analytics (ODL)
Uncertainty Assessment and Bayesian Computation (ODL)
Probability and Sampling Fundamentals (ODL)

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