BSc (Hons) Data Science

Module: 4CI018

Credits: 20

Period: 1

Type: Core

Locations: Wolverhampton City Campus

This module aims to expand your academic, employability and team-based learning skills. You will develop the academic skills needed to successfully study in higher education and develop an awareness of the preparation needed for graduate employment selection.

Module: 4MM013

Credits: 20

Period: 1

Type: Core

Locations: Wolverhampton City Campus

In this module you will learn fundamental& nbsp;concepts in computational mathematics, and a particular way of thinking. Both mathematics and computer programming nourish precision thinking, which is necessary for solving problems that require exact solutions. The module also aims to make you a better computer programmer. You will learn the power of mathematical reasoning and acquire the practical skill of programming in Python - a popular programming language used commercially for data processing. Topics taught include sets and relations,& nbsp;number systems, sequences, iterations, Boolean algebra, parity, invariance, finite strategy games, recursion, polynomials, probability, matrices& nbsp;and elementary graph theory.

Module: 4CS016

Credits: 20

Period: 1

Type: Core

Locations: Wolverhampton City Campus

In this module, students will learn the fundamentals of programming in the context of embedded systems. Students will develop software and hardware projects using a selected embedded system. Students will learn the basics of programming in a low-level programming language. No prior knowledge of low-level programmimg will be assumed. Students will also learn basic electronics so that they can understand how to connect various input and output devices to the embedded system so that they may be controlled using the low-level programming language. Students will learn about the use of sensors and actuators to create hardware systems based on an embedded system.

Module: 4CS015

Credits: 20

Period: 1

Type: Core

Locations: Wolverhampton City Campus

This module is designed to provide students with an understanding of fundamental computing concepts and allow them to use these effectively and efficiently. The module will allow you to acquire the necessary knowledge and skills for both completing your degree and succeeding at your chosen field of work. It is designed to be both easy to follow for students with little or no knowledge of the computing concepts to be covered but also to provide additional benefits for students that already have previous experience in the field of computing. The topics that are covered include Logic and Boolean algebra, Truth tables, Computer Architecture, Number Systems , Command line management of a computer, Data processing, Digital Communications , Computer Security and Databases.

Module: 4CS001

Credits: 20

Period: 1

Type: Core

Locations: Wolverhampton City Campus

In this module you will be introduced to the fundamental principles common to modern programming languages so that you are well prepared to learn to write programs in a variety of languages. Principles include: problem solving, algorithm design and construction (sequence, selection, iteration, object and activity diagrams), variables, data types, assignment operators, logic, the fundamentals of object orientation (objects and classes, attributes and methods, encapsulation), programming pragmatics (style, testing, debugging), and simple data structures (arrays and lists).

Module: 4MM025

Credits: 20

Period: 1

Type: Core

Locations: Wolverhampton City Campus

This is an introductory course in probability & statistics and as such it assumes no prior knowledge of the subject. You may already be familiar with some of the topics covered from your previous education but be aware that the treatment of probability and statistics at University level is markedly different to its treatment at secondary level. This module introduces the basics of probability, descriptive statistics (including graphical methods) and inferential statistics (including hypothesis testing). You will also be given weekly laboratory classes using two statistical software packages, SPSS and R. SPSS is now being developed by IBM and is a widely used software package for statistical analysis in the social sciences. It is also used by survey companies, marketing organisations, government researchers amongst others. R is an open source programming language and software environment for statistical computing. It is widely used by statisticians and data miners for developing statistical software and data analysis.

Module: 5CI023

Credits: 20

Period: 2

Type: Core

Locations: Wolverhampton City Campus

The module aims to equip students with the advanced skills to design and build appropriate database in the active field of database systems and data management. Typical topics include theory of databases; query planning and optimization; transaction processing and concurrency control; maintenance of data integrity, availability and security; data warehousing and OLAP.

Module: 5CS024

Credits: 20

Period: 2

Type: Core

Locations: Wolverhampton City Campus

This module aims to integrate the subject material studied in other level 4 and 5 modules and give students experience of developing a software or hardware artefact in a team. Students will learn to work in teams to coordinate and manage a project.

Module: 5CI021

Credits: 20

Period: 2

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. You will look at a variety of techniques and trends in data mining.

Module: 5CI022

Credits: 20

Period: 2

Type: Core

Locations: Wolverhampton City Campus

This module will provide you with a firm grounding in the principles of Professional Databases. The topics you will study include why databases are important, how to design and manipulate a DBMS. This will involve you looking at database design techniques; different models of data and gain a firm understanding of the challenges of working with a multi-user database user environment. The module will give you practical experience of using SQL within a modern relational database management system, such as Oracle.

Module: 5MM014

Credits: 20

Period: 2

Type: Core