Data Science for Management courses

About Msc/pgdip Data Analytics in University of Strathclyde

Study with us

• gain a comprehensive skill set and expertise through input from three contributing departments
• use data analytics techniques within business contexts to become rounded problem-solvers
• choose from a range of optional classes for specialisation

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.

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.

Academic qualification equivalents

• For entry to Strathclyde postgraduate programmes, we'd look for a first-class undergraduate degree (approx 60%) from a
  recognised Indian institution.

English language requirements (one of the below):

• IELTS    :     6.5 overall, with a minimum of 5.5 in each component
• TOEFL  :    80+ overall,with the following minimum scores in each component: Listening:17 Reading: 18 Speaking:20 Writing:19
• PTE      :     58+ overall, with a minimum of 51 in each component

University of Strathclyde Highlights

University of Strathclyde Average Tuition Fees And Other Expenses

Fee for various range of courses available at the university varies as per their duration, level and type of program. Some of the popular courses with their respective fees are as mentioned below.

Undergraduate Courses (2020-2021)

Graduate Courses (2020-2021)

Cost of Living

List of expenses apart from the basic tuition fee are as compiled below.

Note that candidates looking for their private rented accommodation will require 100 to 125 GBP, per week, for a room in a shared plus other expenses.

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