MSc Data Science

Module: 7CS030

Credits: 15

Period: 1

Type: Core

Locations: Wolverhampton City Campus

Human intelligence involves a continuous process of sensing, analysing, reasoning, and adaptation. In this course, we will focus on studying algorithms (both learning and optimization), which could be used to develop an artificial intelligence (AI) system. Given the limited time, we will try to eliminate mathematical proofs, as much as possible, and focus more on the theory and implementation using different programming languages.

Module: 7CS033

Credits: 15

Period: 1

Type: Core

Locations: Wolverhampton City Campus

This module looks at different data processing and mining techniques and state of the art data processing and mining tools. The topics include introduction to data mining and knowledge discovery process, data collection and processing with various data types from variety of sources, social web mining. The module will look at a variety of techniques and trends in data mining.

Module: 7CS034

Credits: 15

Period: 1

Type: Core

Locations: Wolverhampton City Campus

This module is designed as an introduction to some of the central concepts and tools used in Data Science. As such it includes discussions on data capture, maintenance, processing, analysis and communication. A series of real-world case studies will be discussed and state of the art software and algorithms will be used as tools within these case studies.

Module: 7CS035

Credits: 15

Period: 1

Type: Core

Locations: Wolverhampton City Campus

Data visualisation is an important visual method for effective communication and analysing large datasets. With the rapid increase of the data volume and complexity, users find that it is very difficult to understand and make sense of the data. Through data visualisation, data is presented in a meaningful and interactive way to users, so that users can draw conclusions from data that sometimes are not immediately obvious, and hence manipulate and use the data in for exploring, learning, communicating, solving problem and decision making. The module will provide students with the knowledge of theoretical concepts of interactive data visualisation and presentation, creative design process as well as the applications of interactive visualisation and presentation tools and techniques.

Module: 7CI022

Credits: 15

Period: 1

Type: Core

Locations: Wolverhampton City Campus

The manipulation and management of data is fundamental to data science and artificial intelligence. This module aims to equip students with the skills necessary to design and implement appropriate database systems to support the manipulation of data and keep it secure. The module will also provide an understanding of the different types of database systems to allow an understanding of where they are applicable.

Module: 7CS041

Credits: 60

Period: 1

Type: Core

Locations: Wolverhampton City Campus

Whether you decide to progress to further study or to a career in industry, one of the most important skills expected of a Data Scientist is the ability to work creatively under the appropriate guidance of an organisation. It is therefore essential that you use and develop the skills and knowledge gained from other modules and from your wider educational and./or working background in a major integrative exercise. This project module is the ideal vehicle for this purpose. You will be expected to develop an idea (guided by a member of academic staff) and demonstrate your ability to develop it further, producing a suitable artefact by applying your technical, analytical, practical and managerial skills in an integrated manner.

Module: 7CS044

Credits: 15

Period: 1

Type: Core

Locations: Wolverhampton City Campus

The material in this module is carefully designed to meet students’ needs and requirements for the programme of study alongside essential project management skills dictating research activities. Students will be exposed to a wide variety of tools, techniques, methodologies and processes in the field of project management. Ethical and legal aspects of project planning and management will also be discussed.

Module: 7CS043

Credits: 15

Period: 1

Type: Core

Locations: Wolverhampton City Campus

This module introduces students to research and methodologies used to underpin scientific work, data analysis, hypothesis’ establishment and artefact validation in understanding research on an appropriate subject discipline. The material in this module is carefully designed to meet students’ needs and requirements for the programme of study. This module covers traditional approaches in literature review as essential preparation for the project stage and draws expertise from other departments within the University.

Module: 7CS039

Credits: 15

Period: 1

Type: Core

Locations: Wolverhampton City Campus

This is an introductory course in statistics for data science and as such it assumes little prior knowledge of the subject. This module introduces the basics of descriptive statistics (including graphical methods), estimation, linear regression models and inferential statistics. Appropriate software tools will be used to will be used to extract insights from data.

Module: 7CS041

Credits: 60

Period: 2

Type: Core

Locations: Wolverhampton City Campus

Whether you decide to progress to further study or to a career in industry, one of the most important skills expected of a Data Scientist is the ability to work creatively under the appropriate guidance of an organisation. It is therefore essential that you use and develop the skills and knowledge gained from other modules and from your wider educational and./or working background in a major integrative exercise. This project module is the ideal vehicle for this purpose. You will be expected to develop an idea (guided by a member of academic staff) and demonstrate your ability to develop it further, producing a suitable artefact by applying your technical, analytical, practical and managerial skills in an integrated manner.

This MSc Data Science (conversion) has been developed with a specific focus on employability. The potential industry internship provides students with the opportunity to fine tune their skills directly in the workplace and to gain valuable work experience. The primary goal of the new conversion courses is to respond to the shortage of data science and AI specialists in the UK. The Government's Digital Strategy predicted that within 20 years, 90 per cent of all jobs will require some element of digital skills.

The combination of graduates original first degree with the skills obtained on this course will open up a broad range of career pathways.

Why Wolverhampton? Here are 9 reasons why you should choose the University of Wolverhampton.

The educational aims of this course are

• To enhance critical understanding and skills with regards to processes, techniques and methodologies around data science in a blended learning environment with hand-on application using cutting edge software.
• To equip students from a broad variety of backgrounds with the key skills needed to mine datasets and to extract meaning and insights from complex real world situations.