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Data Science

Data Science

Aarhus University

Duration

1 year

Intake

January & September

Degree

Master’s

Program Overview

About this course

Study an emerging discipline that aims to extract unique insights by extending the field of statistics to incorporate advances in computing, particularly in relation to large quantities of data.

  • Study a ground-breaking curriculum linked to industry needs
  • Use industry standard tools and methodologies
  • Undertake an extended project using real world data science problems
  • Learn from academics who are world-leading researchers
  • Use the programme as a basis for PhD study

It is estimated that 90% of the world's data was created in the last two years and that each day, over 2.5 billion gigabytes of data is created. Between 2012 and 2017 the take-up of big data analytics amongst large enterprises in the UK more than doubled from 14% to 29%. The number of big data specialist staff working in large firms is predicted to increase by 243% to approximately 69,000 employees.

The challenges in data science are multi-faceted and very complex in their nature, including handling the huge amount of data in incompatible legacy databases. By exploiting cloud computing services, data scientists are now relatively free from the constraints of hardware and can concentrate on applying their domain knowledge and experience to make sense of the data. They can apply advanced statistical techniques and machine learning algorithms to make informed decisions which can deliver a major impact on their organisations.

The programme comprises six core modules covering statistical and computing techniques plus an extended research project. It is designed to give you the knowledge to move into the world of work as a qualified Data Scientist or to carry out further research through a PhD or equivalent. It is delivered via a combination of lectures, tutorials and hands-on computer laboratory sessions. A major component of the MSc programme is the research project module, which will give you the opportunity to work on a high-level original research topic, with guidance from an experienced researcher and supervisor.

MSc Data Science is available for study as either a 180 credit or 240 credit routeway.

The 180 credit version of the course is usually run over one full year with the taught modules in Semesters 1 and 2, and the independent research project in the summer. The 240 credit routeway is studied over two years: Semesters 1 and 2 in both years.

The new 240 credit route includes a Group Design Project which aims to apply data science to the solution of a real-world problem. This will:

  • consolidate knowledge and skills learned during the first year, as well as develop new ones
  • provide an opportunity to further use the tools and systems that data scientists and data engineers use, increasing your readiness for the job market
  • equip you with the transferrable project management skills needed to excel in your chosen career

Key Information

University

Aarhus University

Campus

City

Total Credits

180 Credits

Study Mode

Full-time

Loan Availability

No

Program Details

Duration

1 year

Tuition Fee:

18,250 GBP / Year

Format

Full-time

Attendance:

On Campus Learning

Study Gap:

10 years

Fees & Funding:

Course modules

Discover the building blocks of your programme

This course is currently undergoing its scheduled programme review, which may impact the advertised modules. Programme review is a standard part of the University’s approach to quality assurance and enhancement, enabling us to ensure that our courses remain up to date and maintain their high standard and relevance.

Once the review is completed, this course website page will be updated to reflect any approved changes to the advertised course. These approved changes will also be communicated to those who apply for the course, ensuring they are aware of and wish to proceed with their application.

 

Your programme consists of several core modules that are integral to the course framework. Some programmes also have optional modules that can be selected to enhance your learning in certain areas, and many feature a dissertation, extended report, or research project to demonstrate your advanced learning.

 

Further guidance on modules

Modules are designated core or optional by professional body requirements, as applicable, and LJMU’s Academic Framework Regulations. Whilst you are required to study core modules, optional modules provide you with an element of choice. Their availability may vary and will be subject to meeting minimum student numbers.

Where changes to modules are necessary, these will be communicated as appropriate.

Core modules

Introduction to Data Analytics
20 credits

Statistical Methods in R
20 credits

Big Data Computing
20 credits

Research Methods in Data Science
20 credits

Machine Learning and Data Mining
20 credits

Efficient algorithms for complex data sets
20 credits

Data Science Project
60 credits

Optional modules

Work-Based Project
60 credits

Course Structure

Entry Requirement

Academic

Applicants require a four-year Bachelor degree, with GPA: 2.9/4.0

Language

IELTS - ELTS English language requirement: 6.5 (minimum 5.5 in each component)

PTE - 61 (Minimum of 59 in each component).

TOEFL - 78 Overall with R18, W17, L17, S20.

How To Apply

Apply to the University

including academic transcripts and certificates, Passport, NID, TB Test, and a recent photograph.

Apply to the University

Eligibility check and application to the University, and ready bank

CAS Interview

Fill in the CAS Shield and prepare for the Interview

Visa Application

Apply for a visa with a 28-day mature bank statement and pay the visa and IHS Fees

UKVI Interview

Prepare for the UKVI Interview and wait for the visa decision

Post-Departure Activities

Collect BRP, Complete Enrollment, Register with GP, Open Bank Account, Apply for National Insurance

Check Your Eligibility

Find out if you meet the requirements for this program in just a few minutes.

Check Eligibility

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