MSc Applied Statistics with Data Science

Program Overview

The University of Strathclyde's online MSc in Applied Statistics with Data Science equips students with skills in statistical analysis of big data. Through projects, video lectures, and discussion forums, students gain expertise in problem-solving, data manipulation, and programming languages used in statistics and data science. The program is designed for those from various disciplines, offering flexibility for students to study at their own convenience. Upon completion, graduates are prepared for careers as statisticians, data analysts, or data scientists in various sectors, including investment, finance, medical research, and government.

Program Outline

Outline:

• Compulsory Classes:
• Foundations of Probability & Statistics (20 credits)
• Data Analytics in R (20 credits)
• Statistical Modelling & Analysis (20 credits)
• Big Data Fundamentals (10 credits)
• Big Data Tools & Techniques (10 credits)
• Research project (60 credits)
• Elective Classes: (40 credits required)
• Data dashboards with Rshiny (10 credits)
• Quantitative Risk Analysis (10 credits)
• Survey Design & Analysis (10 credits)
• Financial Econometrics (10 credits)
• Financial Stochastic Processes (10 credits)
• Medical Statistics (20 credits)
• Effective Statistical Consultancy (10 credits)
• Bayesian Spatial Statistics (10 credits)
• Machine Learning for Data Analytics (20 Credits)

Assessment:

• All assessment will be undertaken online.
• Assessment will take the form of large-scale projects where students will be asked to demonstrate their knowledge on a real-world data set.
• Projects will involve writing code, interpreting statistical outputs, and producing a report or presentation outlining the findings from the analysis.
• Group work may be undertaken in some classes.

Teaching:

• Classes are delivered using the MyPlace online teaching environment hosted by the University of Strathclyde.
• Students will learn through video lectures, interactive sessions, independent reading of articles and texts, and discussion forums.
• On average, students will study five hours of online material per module per week, plus additional self-study.
• Students will also have regular assistance from dedicated tutors who will interact and communicate with them through online forums and email.
• Students will be part of a community of students working collaboratively to share and enhance learning.

Careers:

• The online MSc in Applied Statistics with Data Science will provide graduates with skills in the statistical analysis of big data.
• These skills are required by many employers in sectors such as:
• Investment companies
• Financial institutions
• Pharmaceutical industry
• Medical research
• Government organizations
• Retailers
• Typical job roles include:
• Statistician
• Data analyst
• Software developer or engineer
• Statistical programmer
• Data scientist

Other:

• The program is designed for those with a background in a broad range of disciplines.
• Students will gain skills in problem-solving, manipulation and interrogation of big data sets and use of programming languages commonly used in statistics and data science.
• The program is entirely delivered online and is ideally suited to those working full-time or with other commitments.
• Students can study and complete the modules when it’s most convenient for them – they don’t need to be online at specific times.
• The course has been designed by academics who also work as statisticians in the public sector.
• They are experts in understanding real-life statistical problems, data, and relating theory to practice.
• The skills set provided will also equip students with the necessary training to work as an applied statistician or data analyst/scientist in a broad range of areas including health, insurance, finance, and social sciences.