SELECT UCS.mcr_ucrs UcasCode,srs_ipo.ipo_seqn,srs_ipp.ipp_code,srs_ipp.ipp_iref,srs_ipp.ipp_titl,srs_ippn.*,ins_dpt.dpt_name,ins_dpt.dpt_snam,men_xon.xon_newv,UCS.mcr_olbc,UCS.mcr_olb3,srs_ipo.ipo_begd,ins_lca.lca_name,srs_crs.crs_leng crs_leng,UCS.mcr_cgpc ApplyRoute,ins_moa.moa_name , ins_moa.moa_code,srs_ipp.ipp_iuse IPPUSE, UCS.mcr_iuse MCRUSE,UCS.mcr_schc, ins_cmp.cmp_name, ins_dpt.dpt_code, Case WHEN srs_ipo.ipo_iuse is null then 'Y' else srs_ipo.ipo_iuse end AS ipo_iuse, srs_crs.crs_uomc, srs_ipo.ipo_end2,srs_ipo.ipo_ayrc,UCS.MCR_RECR, srs_ipo.ipo_udf9, srs_ipp.ipp_prgc, CRS_UDFI, srs_ipp.ipp_subj, CASE WHEN (SELECT TOP 1 mcr_uvst FROM srs_mcr WHERE mcr_code LIKE Substring(srs_ipp.ipp_code, 1, 6) + '%' AND mcr_uvst = 'Y' AND mcr_iuse = 'Y' AND mcr_aesc = 'U') = 'Y' THEN 'True' ELSE 'False' END AS Clearing, CASE WHEN (SELECT TOP 1 crs_udf4 FROM srs_crs WHERE crs_code LIKE Substring(srs_ipp.ipp_code, 1, 6) + '%' AND crs_udf4 IS NOT NULL AND crs_iuse = 'Y' AND crs_schc = 'PWLV') IS NOT NULL THEN 'True' ELSE 'False' END AS PGLoans FROM srs_ipp INNER JOIN srs_ippn on srs_ippn.ippn_ippc = srs_ipp.ipp_code LEFT OUTER JOIN srs_mcr UCS On UCS.mcr_code = srs_ipp.ipp_code LEFT OUTER JOIN ins_dpt On ins_dpt.dpt_code = srs_ipp.ipp_dptc LEFT OUTER JOIN ins_prg On ins_prg.prg_code = srs_ipp.ipp_prgc LEFT OUTER JOIN srs_ipo On srs_ipo.ipo_ippc = srs_ipp.ipp_code LEFT OUTER JOIN ins_lca ON srs_ipo.ipo_lcac = ins_lca.lca_code LEFT OUTER JOIN srs_crs ON srs_crs.crs_code = substring(srs_ipp.ipp_code,0,len(srs_ipp.ipp_code)) LEFT OUTER JOIN ins_moa On ins_moa.moa_code = UCS.mcr_moac LEFT OUTER JOIN srs_CBO ON (srs_CBO.cbo_crsc = srs_crs.crs_code And srs_cbo.cbo_ayrc = srs_ipo.ipo_ayrc and srs_cbo.cbo_blok = srs_ipo.ipo_blok AND srs_cbo.cbo_occl = srs_ipo.ipo_occl ) AND cbo_cmp1 IS NOT Null LEFT OUTER JOIN ins_cmp On ins_cmp.cmp_code = srs_CBO.cbo_cmp1 LEFT OUTER JOIN men_xon On men_xon.xon_oldv = ins_prg.prg_code WHERE srs_ipp.ipp_code LIKE 'CS018K%' AND srs_ipp.ipp_iuse = 'Y' AND UCS.mcr_iuse = 'Y' AND (srs_ipp.ipp_stat = 'P' OR srs_ipp.ipp_code != 'CS018K23UVU') ORDER BY ipp_iref DESC, ipp_code
The University of Wolverhampton

BSc (Hons)Business Intelligence with Sandwich Placement

Why choose this course?

BSc (Hons) Business Intelligence focuses on developing solutions for real-world problems associated with the changing nature of IT infrastructure and increasing volumes of data. Therefore the concept of Business intelligence (BI) is increasingly becoming critical in a range of industries to provide a competitive advantage and opportunities. Through exploring a range of technologies such as Cloud Computing and Machine Learning, students will gain a greater understanding of technological advances, and how these relate to ‘Big Data’ and how data influences the decision making processes for businesses. From this degree, students will gain skills in the latest cutting edge subjects and technologies which will give skills and experience that can be transferable across different sectors.

Staff at The University of Wolverhampton are fully engaged in research projects and working with industry. This has highlighted that industry wants graduates with high level IT and technical skills but with a business focus. The Business Intelligence specialism is acknowledged within the IT and business sectors as an increasing and exciting area, driven by the high demand for better services at a faster pace.

What happens on the course?

Year One

During year one you will learn about the fundamentals of business operations and the importance of businesses understanding their data in order to implement suitable analytics, strategies for growth and efficient decision making. Themes that will be covered will include Big Data, Cloud Computing, Programme and Problem Solving, Financial Analysis and Information Management and Security in Business, and Collaboration Projects.

Year Two

In the second year, you will cover subjects in more depth and gain more hands on practical experience of using technology to support business decisions through understanding data processing and interpreting of data. This will be through using Machine Learning Technologies, understanding the importance of Operational Research, how Social Media and E-Marketing provide Big Data and influence businesses as well as gaining experience of Computing and Security Architectures and Business Continuity Planning

Year Three

In your third year, you will further develop and apply knowledge and experience of a range of different applications and various technologies, techniques, tools and methods in relation to Business Intelligence. Themes covered in this year will influence and support your final year project module and include Advanced and Predictive Analytics software, Mobile applications, Analytics and Big Data Management, Digital Business Strategy and Data Mining

Optional Placement Year

The University of Wolverhampton is keen to ensure graduates have both the academic and work based skills required in industry. Graduates have the options of a placement in industry between levels two and three. The results in a four year length degree which gives graduates an award of BSc (Hons) with sandwich.

Though our up to data teaching laboratories students will gain experience and knowledge through both theoretical instruction and practical activities. Students will gain experience of using Business Intelligence analysis software such as SAS ,Logi Analytics, SPSS. As the activities within Business Intelligence deal with online analytical processing (OLAP), students will use different technologies such as Cloud Computing and Databases for the purpose of gathering data for statistical analysis, forecasting, data analytics and data mining to aid the decision making process.

Why Wolverhampton?

The School of Mathematics and Computer Science offers a range of unique opportunities for students to make the most of their teaching and learning experience.

Academics and Research staff within the School of Mathematics and Computer Science have a reputation for providing outstanding teaching and learning and are fully committee to the student experience.

95% of our graduates go straight into jobs or further study.

The School of Mathematics and Computer Science provides opportunities for collaborations with industry through projects and has several student led IT clubs such as the Code Club, which are a fantastic way to meet other like minded students.

A range of different teaching and learning styles are used and the school uses project based and problem solving learning to ensure students gain experience that is critical in industry.

In terms of this course, the course offers unique opportunities:

Academics and Research staff involved in the teaching of this course have a reputation for providing outstanding teaching and learning and are fully committed to the student experience.

This course is underpinned by research and outreach activities conducted by staff members to ensure the course is up to date and exciting for students to learn through a range of learning formats.

To support our students we have developed excellent specialist facilities, including the Computer Games and Computer Networking labs. These specialist facilities provide students with a unique opportunity to gain value hands on experiences to give them an advance.

The course provides opportunities for collaborations with industry through projects and guest speakers.

Career path

Graduates can expect to find employment as business intelligence analysts, consultants, decision modelling or advanced data analysts, and members of technical and analytics teams supporting management decisions making in diverse organisations. Typical employers include large commercial organisations, local authorities, retail and ecommerce organisations, the banking and insurance sectors, etc where data is critical for forecasting and decision making.

What skills will you gain?

The BSc (Hons) Business Intelligence degree provides graduates with the essentials to equip them in industry. Graduates will have the ability to demonstrate a range of transferrable skills in problem solving, communication, project management, working individually and in teams, self-management and the ability to gather, evaluate and reflect on information to support the decision making process through applying full understanding, knowledge and experience of the principles of Business Intelligence.


Entry requirements

2018 Entry

  • A Level minimum of AA or CCC.
  • BTEC QCF Extended Diploma grade MMM, BTEC QCF Diploma grade DD
  • Access to HE Diploma full award (Pass of 60 credits - of which a minimum of 45 credits must be at level 3 including 18 at Merit or Distinction).
  • Applicants will normally be expected to hold GCSE English and Maths at grade C+/4 or equivalent
  • If you've got other qualifications or relevant experience, please contact The Gateway for further advice before applying.
  • International entry requirements and application guidance can be found here
  • Successful completion of the International Foundation Year in Science and Engineering guarantees entry on to this course

Course fees and finance

2018/9 Home/EU International
Full time £9,250 £11,700

The University also offers a range of Bursaries and Scholarships in addition to other financial support packages

These fees are applicable for new entrants in 2018/9. If you have any queries regarding the fees listed please contact

These fees are for the current academic year only. Any subsequent years may be subject to an annual increase, usually in line with inflation.

Contact us

Telephone

01902 32 22 22

Email

enquiries@wlv.ac.uk

Online

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