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Data Science and Artificial Intelligence (Conversion Programme) MSc

Data Science and Artificial Intelligence (Conversion Programme) MSc

Different course options

Study mode

Full time

Duration

1 year

Start date

18-SEP-23

Key information
DATA SOURCE : IDP Connect

Qualification type

MSc - Master of Science

Subject areas

Artificial Intelligence (Ai) Data Science

Course type

Taught

Course Summary

The MSc Data Science and Artificial Intelligence is a conversion master’s designed for motivated students who have a good first degree in a subject other than Computer Science, who wish to develop the knowledge and skills to gain employment in the Data Science and Artificial Intelligence industry.

  • Ideal if you are a motivated graduate of any discipline with no background in computer science, wishing to complement your subject knowledge with specialist technical skills.
  • Complete a free, online short course, Get ready for a Masters in Data Science and AI, which will help you identify whether you’re ready for Master’s study, improve your data science skills, and get to grips with the basics of Python.
  • Receive two weeks of intensive teaching at the start of the programme for a comprehensive introduction to programming and statistics.
  • This programme has been developed by a collaborative partnership of universities and industry partners brought together by the Institute of Coding.

What you'll study

This programme draws upon our research expertise within the School of Electronic Engineering and Computer Science, in areas including machine learning, natural language processing and Game AI.

During the programme, you’ll discover and devise data-driven AI solutions to automate and optimise business processes that can be applied in any field to support and enhance human decision-making. You’ll also explore the essential ethical and legal issues that need to be considered when generating, analysing and disseminating data and developing AI technology.

Career paths

Data and AI is becoming an integral part of our lives as it helps us solve everyday problems as well as drive scientific and technological progress that advance society and improve our quality of life. Projections of the demand for skilled graduates in this area are that it will increase significantly, outstripping current supply. If you are looking to pursue a career as an AI and Data Specialist, this programme will give you a strong understanding of programming and statistics and how to apply them using specialist AI techniques preparing you for employment in the field. The application closing date for this course is 24th August.

Modules

This module has two components. The first introduces students to the use of probability and statistics in the context of data analysis. The module starts with basics of descriptive statistics and probability distributions. Then we go on with applied statistics techniques, such as visualisation, fitting probability distributions, time-series analysis, and hypothesis testing, which are all fundamental to the exploration, insight extraction, and modelling activities that are fundamental in handling data, of any size. The second covers some basic matrix algebra, including matrix multiplication and diagonalisation.

Tuition fees

UK fees
Course fees for UK students

For this course (per year)

11,850

International fees
Course fees for EU and international students

For this course (per year)

26,250

Entry requirements

A 2:1 or above at undergraduate level in a Science, Technology, Engineering or Mathematics (STEM) subject not related to Computer Science, Electrical Engineering or Electronic Engineering. Other routes: Applicants with a 2:1 in any other subject can also be considered provided the degree contains satisfactory study in programming or statistics. Applicants with degrees obtained more than five years ago who do not meet the above criteria, and those with relevant experience will be considered on an individual basis and must demonstrate evidence of: Aptitude and technical skills normally acquired through employment OR Evidence of successful completion of relevant programming qualifications, such as those provided by the Institute of Coding.