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Full time | University of Strathclyde | 12 months | SEP

Study mode

Full time

Duration

12 months

Start date

SEP

Key information
DATA SOURCE : IDP Connect

Qualification type

MSc - Master of Science

Subject areas

Data Analysis Business Modelling / Analysis

Course type

Taught

Course Summary

Why this course?

The MSc Data Analytics is designed to create rounded data analytics problem-solvers.

The course focuses on the uses of data analytics techniques within business contexts, making informed decisions about appropriate technology to extract knowledge from data and understanding the theoretical principles by which such technology operates.

You'll gain a comprehensive skill set that will enable you to work in a variety of sectors using a blended learning approach that combines theory, intensive practice and industrial engagement.

The degree is unique by bringing together essential skills from three departments across the University in order to address the needs of a fast-growing industry. It's jointly delivered by:

  • Department of Management Science
  • Department of Mathematics & Statistics
  • Department of Computer & Information Sciences

This unique collaboration avoids the narrow interpretation of the subject offered by similar degrees and presents significant opportunities for businesses to recruit data analytics experts with a high-level expertise and knowledge.

Every year, guest speakers attend our course, sharing their invaluable experiences. As part of the Data Analytics in Practice class, we host representatives from external originations, who present case studies and challenging projects to our students.

What you’ll study

The core Data Analytics in Practice class runs over both semesters and provides you with a practical environment to apply methodological learnings from other classes into challenging projects from industry.

Semester 1

Semester 1 is designed to provide you with the fundamental technical analytics knowledge from all three departments. Computer & Information Sciences courses will cover core techniques including machine learning and data mining as well as data visualisation and big data platforms

Mathematics courses will ensure you gain strong computational skills while establishing a broad knowledge of statistical tools essential for analytics. Management Science courses will build the foundations of business skills including problem structuring as well as decision analysis, in addition to providing essential practical skills.

Semester 2

Semester 2 is designed to extend your core skills and provide you with opportunities through a broad range of electives to specialise in areas that you are particularly interested to excel. To ensure breadth of knowledge, you'll be required to choose electives from at least two departments.

Students will also achieve PgDip exit awards during this course.

Careers

The aim of the course is to develop graduates who can use data analytics technology, understand the statistical principles behind the technologies and understand how to apply these technologies to solve business problems.

Graduates will be able to bridge the various knowledge domains that are relevant for tackling data analytics problems as well as being able to identify emerging themes and directions within data analytics.

Graduates will display abilities across the three component disciplines. Examples of graduate employers and job roles include; Software Development Engineer - Machine Learning at RBS, Junior Data Scientist at V.Group, Data Scientist at Solita Scandinavia, Business Analyst at Scottish Power, IT Graduate at Scottish Power.

Modules

This class aims to endow students with an understanding of the new challenges posed by the advent for big data, as they refer to its modelling, storage, and access, along with an understanding of the key algorithms and techniques which are embodied in data analytics solutions.
Dissertation

Tuition fees

UK fees
Course fees for UK / EU students

For this course (per year)

£10,750

Average for all Postgrad courses (per year)

£5,202

International fees
Course fees for non-UK / EU students

For this course (per year)

£20,350

Average for all Postgrad courses (per year)

£12,227

Entry requirements

Minimum second class Honours degree, or overseas equivalent - in mathematics, the natural sciences, engineering, or economics/finance. Applications from those with other degrees are also encouraged if you have demonstrated a good grasp of numerical/quantitative subjects.

University information

The University of Strathclyde were awarded the Queen’s Anniversary Prize, the highest national honour awarded to our sector. They are transforming our campus to create a first -class working learning environment. Their new £31 million Strathclyde Sport building provides a range of sport and wellbeing facilities for students, staff and the local community. The Centre offers state-of-the art training facilities, including a 25-metre swimming...more