Planit


Data Analytics

University of Strathclyde

Content

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.

Entry Requirements

A second-class Honours degree, or 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.

Start Date

September

Qualification

Postgraduate Master's

Award

MSc

Study Method

Part time (day)

Course Length

24 months

Faculty

Strathclyde Business School

Department

Management Science

SCQF Level

11

Career Sectors

Biology

Chemistry and Materials Science

Food Science and Technology

Mathematics and Statistics

Physics

Science General