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COURSE OVERVIEW

  • Prepare for the information challenges of the future by becoming proficient in the latest modelling and analysis tools
  • Learn how to use specialist data analysis software and a wide range of databases from research-active academics who work creatively at the forefront of this exciting field
  • Develop a range of skills in business analytics, computing and data management with access to dedicated computer science and cyber security laboratories in a state-of-the-art new development
  • Join a programme that emphasises a professional approach to the computational analysis of data
  • Be inspired by a multidisciplinary perspective on Data Science giving you an excellent basis for a future career in a field where global demand for expertise outstrips supply

Data has become one of the most vital resources of this century. It is used to power much of the transformative technology we see today, from artificial intelligence and automation to advanced predictive analytics.

Data Science is an interdisciplinary field combining methods, processes, algorithms and systems to extract knowledge or insights from data. Data scientists are concerned with transforming this information – harvested from our online activity or from scientific research and finance – into intelligence through the application of innovative techniques in computer science and statistics.

This highly stimulating programme provides the opportunity to develop your knowledge, understanding, technical skills and confidence to operate successfully in a globalised work environment. It integrates key themes in quantitative data analysis, information management, predictive analytics, strategic forecasting, insight management and business intelligence.

You will have access to a wide range of databases for research purposes as well as specialist data analysis software to develop your project skills.

The aim of your first year is to build a strong foundation in computer science and information systems. You are introduced to academic study and the different core areas required of data scientists including quantitative data analysis, cyber security and database design.

In Year 2, you explore data analytics in more depth and gain experience of different software tools and environments. You pursue topics in information management, predictive modelling and visualisation and there is the opportunity to build team-working skills as part of a group project.

Before moving on to the final year, you may choose to spend a year on a work placement in a relevant business organisation. This gives you the opportunity to enhance your employability, business understanding and professional skills.

In Year 3, you pursue advanced topics in strategic analytics, insight management, forecasting and simulation. You also undertake a substantial Data Science project to showcase the skills you have developed.

The programme has a modular structure and learning outcomes and assessments are clearly defined for each module.
Data science and computing and IT skills and knowledge are highly valued in most sectors, including health, government and retail. In particular, the business world increasingly requires a higher level of data science expertise as well as experts in problem solving and data analytics.

On successful completion of your degree, you will be an agile and skilled data scientist capable of rising to the challenges of the modern workplace.

Careers

You will be able to enter a variety of graduate roles in the field including data scientist, business intelligence analyst, IT consultant, machine learning practitioner or IT project manager.

94% of our 2016/17 graduates (first degree and other undergraduate courses) were in employment and/or further study six months after completing their course (Destinations of Leavers from Higher Education survey).

Pre-approved for a Masters

If you study a Bachelor Honours degree with us, you will be pre-approved to start a Masters degree at Winchester. To be eligible, you will need to apply by the end of March in the final year of your degree and meet the entry requirements of your chosen Masters degree.

 

ABOUT THIS COURSE

Suitable for applicants from:

UK, EU, World

Work placements

An optional placement year provides you with the opportunity to enhance your employability, business understanding and professional skills through a sandwich placement year.

Learning and teaching

Our aim is to shape 'confident learners' by enabling you to develop the skills needed to excel in your studies here and as well as onto further studies or the employment market.

You are taught primarily through a combination of lectures and seminars, allowing opportunities to discuss and develop your understanding of topics covered in lectures in smaller groups.

In addition to the formally scheduled contact time such as lectures and seminars etc., you are encouraged to access academic support from staff within the course team, your personal tutor and the wide range of services available to you within the University.

Independent learning

Over the duration of your course, you will be expected to develop independent and critical learning, progressively building confidence and expertise through independent and collaborative research, problem-solving and analysis with the support of staff. You take responsibility for your own learning and are encouraged to make use of the wide range of available learning resources available.

Overall workload

Your overall workload consists of class contact hours, independent learning and assessment activity.

While your actual contact hours may depend on the optional modules you select, the following information gives an indication of how much time you will need to allocate to different activities at each level of the course.

YEAR 1 (LEVEL 4): TIMETABLED TEACHING AND LEARNING ACTIVITY*

Teaching, learning and assessment: 288 hours
Independent learning: 912 hours

YEAR 2 (LEVEL 5): TIMETABLED TEACHING AND LEARNING ACTIVITY*

Teaching, learning and assessment: 240 hours
Independent learning: 960 hours

YEAR 3 (LEVEL 6): TIMETABLED TEACHING AND LEARNING ACTIVITY*

Teaching, learning and assessment: 216 hours
Independent learning: 984 hours

*Please note these are indicative hours for the course.

Location:

Taught elements of the course take place on campus in Winchester.

Teaching hours

All class based teaching takes places between 9am – 6pm, Monday to Friday during term time. Wednesday afternoons are kept free from timetabled teaching for personal study time and for sports clubs and societies to train, meet and play matches. There may be some occasional learning opportunities (for example, an evening guest lecturer or performance) that take places outside of these hours for which you will be given forewarning.

The University library is open seven days a week, 24 hours a day.

Assessment

Our validated courses may adopt a range of means of assessing your learning. An indicative, and not necessarily comprehensive, list of assessment types you might encounter includes essays, portfolios, supervised independent work, presentations, written exams, or practical performances.

We ensure all students have an equal opportunity to achieve module learning outcomes. As such, where appropriate and necessary, students with recognised disabilities may have alternative assignments set that continue to test how successfully they have met the module's learning outcomes. Further details on assessment types used on the course you are interested in can be found on the course page, by attending an Open Day or Open Evening, or contacting our teaching staff.

Percentage of the course assessed by coursework

The assessment balance between examination and coursework depends to some extent on the optional modules you choose. The approximate percentage of the course assessed by different assessment modes is as follows:

YEAR 1 (LEVEL 4)*:
  • 84% coursework
  • 16% written exams
  • 0% practical exams
YEAR 2 (LEVEL 5)*:
  • 69% coursework
  • 29% written exams
  • 2% practical exams
YEAR 3 (LEVEL 6)*:
  • 97% coursework
  • 3% written exams
  • 0% practical exams

*Please note these are indicative percentages and modes for the programme.

Feedback

We are committed to providing timely and appropriate feedback to you on your academic progress and achievement in order to enable you to reflect on your progress and plan your academic and skills development effectively. You are also encouraged to seek additional feedback from your course tutors.

Further information

For more information about our regulations for this course, please see our Academic Regulations, Policies and Procedures.

ENTRY REQUIREMENTS

2019 Entry: 104-112 points
2020 Entry: 104-112 points

A GCSE A*-C or 9-4 pass in English Language and Mathematics is required.

International Baccalaureate: 104-112 points to include a minimum of 2 Higher level IB certificates at grade 4 or above.

If English is not your first language: IELTS 6.0 overall with a minimum of 5.5 in writing or equivalent

Course enquiries and applications

Telephone: +44 (0) 1962 827234
Send us a message

International students

If you are living outside of the UK or Europe, you can find out more about how to join this course by emailing our International Recruitment Team at International@winchester.ac.uk or calling +44 (0)1962 827023

Visit us

Explore our campus and find out more about studying at Winchester by coming to one of our Open Days.

Year 1 (Level 4)

Modules Credits

Business Expertise 1 15

The aim of this module is to develop student understanding of the skills and competencies required in both academic and professional environments.  Students will work individually and in teams to develop the knowledge and skills required to plan, design and conduct a research project.  Students will have the opportunity to engage in a range of activities which will build industry awareness at a national and international level; enhance communication and negotiation skills; and increase awareness of the importance of evidence based thinking and reflective practice.  This module provides the foundation for continuing personal and professional development building confidence to provide students with the potential to maximise academic and career aspirations.

Information Systems and Organisations 15

The aim of the module is to introduce the application of information, information systems and information technologies within organisations and understand the impact of such systems on organisational performance. Students will develop an understanding of the project lifecycle focussing on the importance of the customer and will look at the process involved in creating information systems by learning how to investigate and define customer requirements and understand future needs. Undertaking this module gives students an introduction to information systems and organisations, giving them the skills to work effectively within an IS organisation on projects and giving them the base for understanding other IS modules within the degree programme.

Introduction to Quantitative Data Analysis 15

This module introduces you to quantitative ideas and procedures which are fundamental to the work of the professional data scientist.  It will take a real-world approach to understanding the value and meaning of data and collecting and preparing data for processing. You will be introduced to basic statistical concepts and analytical software tools for specific data analysis tasks.  This will provide you with a practical knowledge of applied computing which will help to underpin more advanced study found later in the programme modules.  It will also support longer term academic and professional development.  The module enables you to explore analytical methods and appreciate critically the professional literature and research in the field of data analysis.

Introduction to Software Development 15

This module will introduce technical students to programming and testing concepts. Students will develop an understanding of the general principles of how programs and projects are delivered within the IT services industry and the application of the concepts of testing and programming. The module will develop introductory skills using a specific but not defined programming language and platform. Undertaking the module will develop the student’s skills in developing and testing programmes using industry techniques.

Database Analysis and Design 15

This module imparts an understanding of analysis and design concepts that are essential for developing and implementing software and database systems.  Design concepts and procedures such as Business Rules, Requirements Analysis, Data Modelling, Relational Data Modelling, Object Orientated Analysis and SQL will be explored.  Students will also learn how to apply Unified Modelling Language (UML) within different computing scenarios.

Introduction to Cyber Security and Networks 15

The aim of this module is to introduce concepts of IT security in order to understand the security threats to an IT system and the operational impact of these threats on an organisation. The module will explore different protection methods for data and develop knowledge of security policies and procedures, including risk assessments, and how these procedures can be implemented and maintained. This module will introduce topical case studies of attacks on organisational information systems, highlighting the business consequences.

Data Structures and Operating Systems

 

 

System and Software Analysis and Design 15

This module will teach the design concepts of object orientated programming and creativity and ideation techniques.  This module will develop the student’s skills in analysing business and technical requirements to select and specify appropriate technology solutions; capturing client requirements and producing the solutions architecture and software design. Systems Development: The concept will be tested with reference to the business case.

Year 2 (Level 5)

Modules Credits

Software Testing 15

This module will build on the knowledge technical students obtain in the introduction to programming and testing module. This module presents a systematic approach to software testing as an extension to Software Design and a precursor to Software Development. Agile methodologies will underpin the Design, testing and development modules. This module prepares students to work in testing roles.

Introduction to Project Management 15

This module teaches key aspects involved in project management. The range of perspectives in project management studies are analysed both in theory and in practice. Students will explore roles and responsibilities of those involved in project management and explore documentation from planning to reporting used and how to deliver a successful project. The module will look at the management of projects including lifecycles and investigate the importance of relationship management focussing on stakeholders and teams.

Information Management and Data Analytics 15

Generating the right information and insight for decision-makers is a major challenge for many organisations. The challenge lies in coping with a burgeoning amount of multifarious data, analysing data and ensuring it reaches decision-makers in a timely and meaningful manner. Information Management and Data Analytics encapsulate the challenges faced in deriving insights from data to underpin fact-based decisions.  This module examines the different types of systems and data that can flow into organisations. It evaluates the characteristics and value of these different data sources. With an awareness of the nature of data, a model of how data may be creatively integrated and analysed to deliver insights will be explored. Data analytics will then be explored given the demands of decision makers to: segment and target markets, predict the development of markets, assess customer profitability and the lifetime value of customers, and understand corresponding relationships.

Predictive Data Analytics 15

In this module you will develop professional skills in applying data analysis techniques and processes involved in conducting projects within the business environment.  It will introduce some of the most widely used predictive modelling techniques and their core principles.  You will form a solid foundation of predictive data analytics using relevant tools and technology for building statistical or machine learning models to make predictions based on data.  You will learn how to carry out exploratory data analysis to gain insights and prepare data for predictive modelling, an essential skill valued in business.  This module will also help understand and unlock the power of large datasets, acquiring some practical skills in data science to create data visualisations and carry out analyses.

Visualisation of Business Intelligence 15

This module introduces the activities of preparing data for presentation through cleansing and validation processes.  It introduces students to presentational techniques for visualisation as a form of recording, understanding and communication of transformed data. Visualisation techniques are important because they can present large and overwhelming amounts of multi-source and multi-format data. The business need is for data to be presented in perceptible, comprehensible, relevant and usable visual forms to communicate complex ideas that support decision making. The module will cover the presentation of data using industry standard techniques, and the advantages and limitations of a wide range of visualisation approaches such as basic statistical charts through to more complex formats. The choice and selection of a range of visual formats is considered and practised using examples related to the business environment. Students will have the opportunity to develop skills with visualisation tools used in the workplace.

Object Orientated Software Development 15

The module develops theoretical and practical skills in software engineering principles including abstraction, encapsulation, aggregation and inheritance.  Students will learn the processes from analysis to design, implementation, testing and documentation together with software quality principles. 

Integrated Project 15

This module provides an opportunity for students to work as part of a collaborative team to manage and complete a substantial project for a given scenario.  Students are expected to utilise and extend the knowledge and understanding imparted previously and contextualise the material already covered.

Risk Management and Cyber Security 15

The aim of this module is to further develop student understanding of IS Security.  The main focus of this module will be to explore key themes, trends and issues in cyber-security, policing and governance of the internet and business vulnerabilities.  The module provides students with an opportunity to analyse risk management, information risk assessment, risk mitigation, management standards and methodologies, implementing a risk management strategy and business continuity planning.

Year 3 (Level 6)

Modules Credits

Insight Management 15

This module will provide students with an understanding of the insight management function of an organisation and will equip them with key skills in insight generation and delivery for business decision-making.  The module will develop students’ ability to critically evaluate approaches to generating ideas and insight through creative thinking techniques, within both divergent and convergent thinking processes.   It will provide them with the knowledge and skills to identify and evaluate an organisational problem, and then to effectively draw and interpret insights so that they have an impact at both managerial and board levels of organisations. The ethical implications of the use of insight management techniques will recur throughout the module.

Strategic Forecasting and Simulation 15

This module covers the two major data driven business prediction topics of forecasting and simulation.  Forecasting is the analysis of trends in data and is a subject related to probability, risk and uncertainty. The module covers the main numerical forecasting methods and their accuracy limitations.  Less formal judgemental methods are also covered. Simulation, in a business context, is about constructing data driven models to emulate real world systems with sufficient fidelity and validity, so that the possible impacts caused by changes to its component variables can be explored experimentally. The module will cover the principles of simulation and simulation model building. Students will have the opportunity to develop advanced spreadsheet modelling and problem structuring methods.

Strategic Analytics 15

This module provides students with a deeper understanding of how data is used by strategic decision makers. Students will study the concepts of ‘Big Data’ and data storage. The current strategic issues of concern to the data scientist will be considered. Students will also examine the analysis and storage issues for unstructured data. The module will conclude with a data analytics case study where the student will be required to work through the life cycle of the data analytics case study using appropriate techniques and methods, reporting on the findings and making critical recommendations to a given strategic stakeholder.

Cloud Computing and Infrastructure 15

Cloud computing describes a new supplement, consumption, and delivery model for IT services based on the Internet. Cloud computing is a consequence of the ease-of-access to remote computing sites provided by the Internet. Within this context, the aim of this module is to develop student understanding of cloud technologies, infrastructure and deployment. The values that cloud computing may bring to an organisation will be evaluated. An array of cloud products and services will be appraised in the context of how they may apply to different types of organisation and their operational functions. Students will appraise an array of methods used to provide virtual storage and network virtualisation. The security and ethical challenges inherent in an organisational transformation to cloud computing will be evaluated.

Intellectual Property and Information Rights 15

This module considers the different forms of intellectual properties created in the software development and information technology sectors, and how these might be utilised for commercial purposes.  Particular emphasis is given to the protection and utilisation of intellectual property rights in computer software programmes by copyright.  The module considers how an understanding of intellectual properties is vital to knowledge-based businesses, and needs to be incorporated into the conceptualisation, design and implementation of new information technologies.  Emerging information technologies create challenges in terms of information rights such as data protection and privacy, access to public information, and information sharing through social media.  Students will be introduced to information rights laws and the trends shaping real-time development of protections in this area.

Computing Project 30

The Computing Project provides the opportunity to undertake a major computing related problem in an approved topic area relevant to the programme of study.

Year 3 Optional Modules
  • Information Systems Futures 15 credits
  • Strategic Innovation Management 15 credits

Optional Credits

Insight Management 15

This module will provide students with an understanding of the insight management function of an organisation and will equip them with key skills in insight generation and delivery for business decision-making.  The module will develop students’ ability to critically evaluate approaches to generating ideas and insight through creative thinking techniques, within both divergent and convergent thinking processes.   It will provide them with the knowledge and skills to identify and evaluate an organisational problem, and then to effectively draw and interpret insights so that they have an impact at both managerial and board levels of organisations. The ethical implications of the use of insight management techniques will recur throughout the module.

Strategic Forecasting and Simulation 15

This module covers the two major data driven business prediction topics of forecasting and simulation.  Forecasting is the analysis of trends in data and is a subject related to probability, risk and uncertainty. The module covers the main numerical forecasting methods and their accuracy limitations.  Less formal judgemental methods are also covered. Simulation, in a business context, is about constructing data driven models to emulate real world systems with sufficient fidelity and validity, so that the possible impacts caused by changes to its component variables can be explored experimentally. The module will cover the principles of simulation and simulation model building. Students will have the opportunity to develop advanced spreadsheet modelling and problem structuring methods.

Strategic Analytics 15

This module provides students with a deeper understanding of how data is used by strategic decision makers. Students will study the concepts of ‘Big Data’ and data storage. The current strategic issues of concern to the data scientist will be considered. Students will also examine the analysis and storage issues for unstructured data. The module will conclude with a data analytics case study where the student will be required to work through the life cycle of the data analytics case study using appropriate techniques and methods, reporting on the findings and making critical recommendations to a given strategic stakeholder.

Cloud Computing and Infrastructure 15

Cloud computing describes a new supplement, consumption, and delivery model for IT services based on the Internet. Cloud computing is a consequence of the ease-of-access to remote computing sites provided by the Internet. Within this context, the aim of this module is to develop student understanding of cloud technologies, infrastructure and deployment. The values that cloud computing may bring to an organisation will be evaluated. An array of cloud products and services will be appraised in the context of how they may apply to different types of organisation and their operational functions. Students will appraise an array of methods used to provide virtual storage and network virtualisation. The security and ethical challenges inherent in an organisational transformation to cloud computing will be evaluated.

Intellectual Property and Information Rights 15

This module considers the different forms of intellectual properties created in the software development and information technology sectors, and how these might be utilised for commercial purposes.  Particular emphasis is given to the protection and utilisation of intellectual property rights in computer software programmes by copyright.  The module considers how an understanding of intellectual properties is vital to knowledge-based businesses, and needs to be incorporated into the conceptualisation, design and implementation of new information technologies.  Emerging information technologies create challenges in terms of information rights such as data protection and privacy, access to public information, and information sharing through social media.  Students will be introduced to information rights laws and the trends shaping real-time development of protections in this area.

Computing Project 30

The Computing Project provides the opportunity to undertake a major computing related problem in an approved topic area relevant to the programme of study.

Year 3 Optional Modules
  • Information Systems Futures 15 credits
  • Strategic Innovation Management 15 credits

Please note the modules listed are correct at the time of publishing, for full-time students entering the programme in Year 1. Optional modules are listed where applicable. Please note the University cannot guarantee the availability of all modules listed and modules may be subject to change. For further information please refer to the terms and conditions at www.winchester.ac.uk/termsandconditions.
The University will notify applicants of any changes made to the core modules listed above.

2019 Course Tuition Fees* 

 UK/EU

International

Year 1 £9,250 £13,300
Year 2 £9,250 £13,300
Year 3 £9,250 £13,300
Total £27,750 £39,900
Optional Sandwich Year £700 £700
Total with Sandwich Year £28,450 £40,600

If you are a UK or EU student starting your degree in September 2019, the first year will cost you £9,250*. Based on this fee level, the indicative fees for a three-year degree would be £27,750 for UK and EU students.

Remember, you don't have to pay any of this upfront if you are able to get a tuition fee loan from the UK Government to cover the full cost of your fees each year. If finance is a worry for you, we are here to help. Take a look at the range of support we have on offer. This is a great investment you are making in your future, so make sure you know what is on offer to support you.

UK/EU Part-Time fees are calculated on a pro rata basis of the full-time fee for a 120 credit course. The fee for a single credit is £77.08 and a 15 credit module is £1,156. Part-time students can take up to a maximum 90 credits per year, so the maximum fee in a given year will be the government permitted maximum fee of £6,938.

International part-time fees are calculated on a pro rata basis of the full-time fee for a 120 credit course. The fee for a single credit is £110.83 and a 15 credit module is £1,662.

*The University of Winchester will charge the maximum approved tuition fee per year. 2019 fees are subject to Board approval.

ADDITIONAL COSTS

As one of our students all of your teaching and assessments are included in your tuition fees, including, lectures/guest lectures and tutorials, seminars, laboratory sessions and specialist teaching facilities. You will also have access to a wide range of student support and IT services. There might be additional costs you may encounter whilst studying. The following highlights the mandatory and optional costs for this course:

Optional

Core texts: Core texts are available from the University Library. However some students prefer to purchase their own copies. Some core texts can be bought second-hand or as an ebook which can often reduce this cost. Indicative cost is £150 for whole course.

Mandatory

Laptop: Students are expected to have their own laptop to use on this course. Indicative cost is £200-£1,000.

Printing and Binding: We are proud to offer free printing for all students to ensure that printing costs are not a potential financial barrier to student success. The University of Winchester and Winchester Student Union are champions of sustainability and therefore ask that all students consider the environment and print fairly. Students may be required to pay for the costs of dissertation binding. Indicative cost is £1.50-£3.

SCHOLARSHIPS, BURSARIES AND AWARDS

We have a variety of scholarship and bursaries available to support you financially with the cost of your course. To see if you’re eligible, please see our Scholarships and Awards page.

Key course details

UCAS code
I240
Duration
3 years full-time; 4 years full-time (sandwich); 6 years part-time
Typical offer
104-112 points
Location
On campus, Winchester