Why Business Data Analytics? Our Bachelor of Science in Business Data Analytics prepares students with the requisite knowledge, skills and experience to create, analyse and manage data driven initiatives. In addition, students will have the skills and confidence to facilitate decision making and large-scale business data analytics in organisations. The concept and importance of “data analytics” has been known for a while, but the last few years have seen a sizeable swell in interest and media attention. Recently, the ways in which social media companies use the data collected about their users have hit the headlines and has shown the enormous impact data analysis and usage has on our lives every day. This course is part of NOVUS Lite, an innovation developed with the university in conjunction with the NOVUS Trust. The Trust is an industry-led organisation that focuses on developing talent in the transport, logistics and supply chain management sectors. Being part of the scheme opens up wider opportunities for work experience and networking with professional in the sector, and is valuable to your professional development. The course provides a fantastic opportunity to join the NOVUS Lite scheme, which involves a guaranteed third year placement, a paid summer placement and a company mentor (subject to availability). NOVUS company guest lectures and site visits are also a benefit of the scheme. To join, you will need to successfully pass a series of short assessments held at the start of the first year of your studies. For details of NOVUS Lite - https://www.novus.uk.com/how-it-works/our-benefits/ How will I learn? You will learn through practical application and delivered lectures, workshops, seminars and group work sessions. * A degree in business data analytics would impart you with important transferable skills, such as data analysis, visualisation, data management, critical-thinking and problem-solving. * Open up opportunities across industries as data managers, data consultants, business analysts, data scientists, consumer and market knowledge managers, chief data officers, big data architects and business and marketing analysts. * The programme is designed to develop both technical and professional skills, technical in terms of data science, visualisation, database structures, and use of software – and professional skills in terms of the commercialisation of designed innovation and organisational decision making. * You’ll learn to operate in the spaces between the IT and business disciplines and obtain the skills to both innovate in the new economy and commercialise those innovations. On completion you’ll possess the capacity to absorb and re-combine knowledge from different disciplines and innovate for the advantage of your organisation. What subjects will you cover? You’ll explore subjects such as Introduction to Data Analysis, Understanding Business Analytics, Data visualisation, and Applied Data Science. It’s clear that for companies large or small in today's modern business data is essential to help inform strategy, make decisions and identify problems, challenges and opportunities. This is true for both online and offline companies, and the notion that organisations are 'data rich, but skills poor' holds true. Organisations need graduates who can understand and analyse data to make informed business-related decisions. This course can help you do just that, sitting at the intersection between data analytical skills and business decision making.

Year 1 Core modules: ASPIRE 1 Statistics for Social Sciences Introduction to Databases Introduction to Data Analysis Understanding Organisational Behaviour Understanding Business Analytics Year 2 Core modules: ASPIRE 2 Data Visualisation Econometrics Applied Data Science Business Creation and Development Option modules: Either Management Science Applications or Planning Techniques for Logistics and Transport Operations Year 3 - optional placement year Final year Core modules: ASPIRE 3 Strategy and Business Transformation Data Analytics and Creating Value Advanced Analytics Applied Econometrics Option modules: Either Supply Chain Systems and Modelling or The Psychology of Work & Organisations

Study and assessments will be based on your choice of modules. Your module specification/course handbook will provide full details of the assessment criteria applying to your course.

Professional Bodies are not listed for this Course.

26 January This is the deadline for applications to be completed and sent for this course. If the university or college still has places available you can apply after this date, but your application is not guaranteed to be considered.

Course code: B167

Institution code: H60

Campus Name: Main Site

Campus code:

The following entry points are available for this course:

Year 1

Entry Requirements for Advanced Entry are not listed for this Course.

For further information please see the University's minimum entry requirements.

Please click the following link to find out more about qualification requirements for this course

http://www.hud.ac.uk/undergraduate/howtoapply/entryrequirements/

Minimum Further Information are not listed for this Course.

Test	Grade	AdditionalDetails

If your first language is not English, you will need to meet the minimum requirements of an English Language qualification. The minimum for IELTS is 6.0 overall with no element lower than 5.5, or equivalent will be considered acceptable.

Read more about the University’s entry requirements for students outside of the UK on our 'Where are you from?' information pages.

https://www.hud.ac.uk/international/where-are-you-from/

Student satisfaction : 66%

Employment after 15 months (Most common jobs): 65%

Go onto work and study: 80%

England	9250.0	Year 1
Northern Ireland	9250.0	Year 1
Scotland	9250.0	Year 1
Wales	9250.0	Year 1
Channel Islands	9250.0	Year 1
EU	15000.0	Year 1
International	15000.0	Year 1

This information is for applicants applying to study at the University of Huddersfield in the academic year 2021/22. Please note that your tuition fees for subsequent years may rise in line with inflation (RPI-X). This webpage will be updated with 2022/23 tuition fees as information becomes available. If you are an EU or International student coming to study at the University of Huddersfield, please visit the International Fees and Finance pages for full details of tuition fees and support available - http://www.hud.ac.uk/international/tuition-fees/ Please email the Student Finance Office (sfo@hud.ac.uk) or call 01484 472210 for more information about fees and finance.

Queensgate
Address2 are not listed for this Course.
Address3 are not listed for this Course.
Huddersfield
HD1 3DH