Advert
Advert

MSc Data Science

  • DeadlineStudy Details:

    MSc Full-time: 12 months

Course Description

Big data is playing an increasingly important role in our society. The need for expert and ethical data analysis is in high demand across many industries. This course gives you the professional and problem-solving skills for a range of high-level careers.

This interdisciplinary masters will be taught by the Schools of Computer Science and Mathematical Sciences. Our academics conduct their own international-quality research. They use this to teach you the latest techniques and technologies in this field.

Entry Requirements

2:1 (or international equivalent) with evidence of an interest or aptitude in mathematics and computing. Graduates from other fields, with strong mathematics and/or computation background will be considered with 60% average mark.

Find out more

Fees

For fees and funding options please visit website to find out more 

Student Destinations

This course prepares you for careers in advanced software development, particularly where reliability and efficiency are vital requirements. Graduates are likely to assume leading roles in major software-development projects in one of the areas of specialisation.

This course also provides an excellent foundation for further study and you may decide to progress to a PhD in order to continue your research.

96.4% of undergraduates from the School of Computer Science secured graduate level employment or further study within 15 months of graduation. The average annual salary for these graduates was £28,895

Module Details

Core module

  • Research Project

Students with background in Computer Science must take 60 credits from the following list of modules

  • Machine Learning
  • Advanced Algorithms and Data Structures
  • Computer Vision
  • Simulation and Optimisation for Decision Support
  • Data Modelling and Analysis
  • Professional Ethics in Computing
  • Computability
  • Parallel Computing
  • Project in Advanced Algorithms and Data Structures
  • Linear and Discrete Optimisation
  • Fuzzy Logic and Fuzzy Systems
  • Fundamentals of Information Visualisation
  • Big Data

Students without a background in Computer Science must start with

  • Programming

And are then required to obtain 40 credits from the remaining list of Computer Science modules:

  • Data Modelling and Analysis
  • Computer Vision
  • Machine Learning
  • Simulation and Optimisation for Decision Support
  • Databases, Interfaces and Software Design Principles
  • Fuzzy Logic and Fuzzy Systems
  • Fundamentals of Information Visualisation
  • Big Data
  • Mathematical Sciences modules

Students without a background in Mathematical Sciences must start with

  • Statistical Foundations

And are then required to obtain 40 credits from the following list of Mathematical Science modules

  • Applied Statistical Modelling
  • Time Series and Forecasting
  • Applied Multivariate Statistics

Students with a background in Mathematical Sciences must start with

  • Statistical Machine Learning

And are then required to obtain 40 credits from the following list of Mathematical Science modules

  • Applied Multivariate Statistics
  • Applied Statistical Modelling
  • Computational Statistics
  • Statistical Inference
  • Time Series and Forecasting

University of Nottingham Campus

Where is University of Nottingham?

View Website

University Profile