Program Overview

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MSc Chemistry with Artificial Intelligence

The MSc Chemistry with Artificial Intelligence will provide you with the skills necessary to develop, run and evaluate artificial intelligence algorithms that can solve data-intensive chemistry problems and research challenges.

Key Facts

• Start date: September
• Study mode and duration: 12 months, full-time

Course Description

This degree is specifically designed to produce graduates who are equipped in the traditional fields of chemistry with expertise in the increasingly data-driven world of science and industry. The future of chemistry is resilient, digitally enhanced, multidisciplinary, and globally connected. Digital technologies, including artificial intelligence, will enable chemical sciences researchers to see further and go faster, working seamlessly across disciplinary and international boundaries.

Why This Course?

You’ll benefit from high-quality teaching from across two Departments in the Faculty of Science:

• the Department of Pure & Applied Chemistry
• the Department of Computer & Information Sciences

Graduates of this course will have excellent employment opportunities for multi-disciplinary artificial intelligence jobs.

What You'll Study

You’ll study specialist courses designed by chemists with expertise in data science from the Department of Pure & Applied Chemistry:

• Coding (Python)
• AI and machine learning
• Software engineering and high-performance computing
• Time series analysis for chemistry
• Scientific research methods
• Computational Chemistry

You'll also study courses designed by data scientists from the Department of Computing and Information Sciences:

• Quantitative Methods for AI
• Big Data Technologies
• Deep Learning and Neural Nets

In addition, you'll have the opportunity to apply all this new theoretical knowledge as part of a major research project, in partnership with our expert researchers.

Learning & Teaching

This degree is taught using a wide range of delivery methods, including online and face-to-face lectures, workshops, computer labs, tutorials, and case studies.

Assessment

A wide range of assessment methods are used, including written coursework, compute laboratory reports, quizzes, data analysis exercises, scientific writing exercises, oral presentations, and formal written examinations.

Course Content

• Semester 1
• Semester 2
• Semester 3

Python 101 for Chemists (20 credits)

This module will provide you with the essential programming skills, within a chemistry context, to enable you to tackle a broad range of data-intensive chemistry problems and research challenges.

Computational Chemistry (10 Credits)

This module is designed in a way to empower you with skills to plan, design, and formulate a simulation that realises a truly predictive capability.

Quantitative Methods for AI (10 Credits)

The aim of this module is to provide you with the foundations of mathematics that are required to understand modern Artificial Intelligence techniques. The module will focus on three topics: probability, statistics, and linear algebra.

Big Data Technologies (20 Credits)

This module aims to give you an understanding of the challenges posed by big data, an understanding of the key algorithms and techniques which are embodied in data analytics, and exposure to a number of different big data technologies and techniques.

AI & Machine Learning (10 credits)

This module will provide you with the skills necessary to develop, run and evaluate artificial intelligence and machine learning algorithms that can solve a range of problems within a chemistry context.

Software Engineering & High Performance Computing (10 credits)

This module will provide you with the essential professional software management skills, within a chemistry context, to enable you to create software that is parallelizable and applicable to data-intensive chemistry problems and research challenges.

Time Series Analysis for Chemistry (10 credits)

This module will provide you with a gateway to deploying your advanced Python programming skills to a host of chemistry applications in which monitoring over time is crucial.

Scientific Research Methods (10 credits)

The aim of this module is to give you an understanding of both quantitative and qualitative research processes and associated techniques, including the effective presentation of findings in accordance with the best principles of scholarship.

Deep Learning & Neural Nets (20 Credits)

The most impactful area of AI has been machine learning using neural networks. When combined with reinforcement learning, these neural networks can also become autonomous agents that can, for example, learn to play games to an extraordinarily high standard.

Research Project (60 credits)

You will conduct an extended piece of research in data science applied to chemistry. This will be carried out in partnership with our expert researchers, and you will be embedded into their research group.

Entry Requirements

• Academic requirements: Minimum second-class (2:2) Honours degree, or international equivalent, in a relevant subject such as Chemistry, Computing Science, Chemical Engineering, Mathematics, Physics, or closely related subject.
• English language requirements: You must have an English language minimum score of IELTS 6.0 (with no component below 5.5).

Fees & Funding

• Scotland: £11,900
• England, Wales & Northern Ireland: £11,900
• Republic of Ireland: If you are an Irish citizen and have been ordinary resident in the Republic of Ireland for the three years prior to the relevant date, and will be coming to Scotland for Educational purposes only, you will meet the criteria of England, Wales & Northern Ireland fee status.
• International: £28,700
• Additional costs: If you are an international student, you may have associated visa and immigration costs.

Careers

The MSc Chemistry with Artificial Intelligence is specifically designed to produce graduates who are equipped in the traditional fields of chemistry with expertise in the increasingly data-driven world of science and industry. This innovative degree program will equip you with a unique skill set that is in high demand across various STEM sectors, including:

• the pharmaceutical industry
• materials science
• environmental science
• manufacturing
• regulatory roles

Research Areas

Graduates with this degree will possess a unique and valuable skill set that combines the principles of digital chemistry with the hot area of AI. This interdisciplinary background opens up a wide range of employment opportunities across various sectors. The program focuses on developing skills in artificial intelligence, machine learning, and data science applied to chemistry, enabling graduates to work in a variety of roles that require the application of these skills to solve complex problems in chemistry and related fields.