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Data Science and Analytics (Including Placement Year)

Course overview

(BSc) Bachelor of Science
Data Science and Analytics (Including Placement Year)
Current
University of Essex
University of Essex
Computer Science and Electronic Engineering (School of)
Colchester Campus
Honours Degree
Full-time
None
BSC I1GBCE
http://www.essex.ac.uk/students/exams-and-coursework/ppg/ug/default.aspx
01/01/0001

External Examiners

Prof Fionn Murtagh
Professor of Data Science

External Examiners provide an independent overview of our courses, offering their expertise and help towards our continual improvement of course content, teaching, learning, and assessment. External Examiners are normally academics from other higher education institutions, but may be from the industry, business or the profession as appropriate for the course. They comment on how well courses align with national standards, and on how well the teaching, learning and assessment methods allow students to develop and demonstrate the relevant knowledge and skills needed to achieve their awards. External Examiners who are responsible for awards are key members of Boards of Examiners. These boards make decisions about student progression within their course and about whether students can receive their final award.

eNROL, the module enrolment system, is now open until Monday 21 October 2019 8:59AM, for students wishing to make changes to their module options.

Key

Core You must take this module You must pass this module. No failure can be permitted.
Core with Options You can choose which module to study
Compulsory You must take this module There may be limited opportunities to continue on the course/be eligible for the degree if you fail.
Compulsory with Options You can choose which module to study
Optional You can choose which module to study

Year 1 - 2019/20

Component Number Module Code Module Title Status Credits
01 CE101-4-FY Team Project Challenge Core 15
02 MA181-4-AU Discrete Mathematics Core 15
03 MA108-4-SP Statistics I Core 15
04 CE151-4-AU Introduction to Programming Core 15
05 CE152-4-SP Object-Oriented Programming Core 15
06 CE153-4-AU Introduction to Databases Core 15
07 MA101-4-FY Calculus Core 30

Year 2 - 2020/21

Component Number Module Code Module Title Status Credits
01 CE291-5-FY or CE299-5-FY Core with Options 15
02 CE205-5-AU Databases and Information Retrieval Compulsory 15
03 CE213-5-AU Artificial Intelligence Compulsory 15
04 MA200-5-AU Statistics II Compulsory 15
05 BE310-5-SP Introduction to Quantitative Management Compulsory 15
06 Option from list Optional 15
07 Option(s) from list Optional 30

Year Abroad/Placement - 2021/22

Component Number Module Code Module Title Status Credits
01 CE300-6-FY Placement Year Core 120

Year 3 - 2022/23

Component Number Module Code Module Title Status Credits
01 CE301-6-FY or (MA831-6-FY plus option from list) Core with Options 45
02 Option from list Optional 15
03 Option(s) from list Optional 30
04 Option(s) from list Optional 30

Exit awards

A module is given one of the following statuses: 'core' – meaning it must be taken and passed; 'compulsory' – meaning it must be taken; or 'optional' – meaning that students can choose the module from a designated list. The rules of assessment may allow for limited condonement of fails in 'compulsory' or 'optional' modules, but 'core' modules cannot be failed. The status of the module may be different in any exit awards which are available for the course. Exam Boards will consider students' eligibility for an exit award if they fail the main award or do not complete their studies.

Programme aims

1) To equip students with the knowledge and skills that are currently in high demand in the computing industry and the wider economy
2) To provide students with a foundation for further study and research
3) To enable students to acquire an understanding of computer science, mathematics and statistics as well as business analysis
4) To develop the student’s ability to make an effective contribution to team-based activity
5) To encourage students to adopt an investigative approach and develop autonomous study skills in order to ensure their continuing professional development
6) To provide students with an understanding of the industrial context and an appreciation of a range of external factors that affect the work of a data analyst and computing professional
7) To provide students with experience of the transition to University level

Learning outcomes and learning, teaching and assessment methods

On successful completion of the programme a graduate should demonstrate knowledge and skills as follows:

A: Knowledge and understanding

Learning Methods:
Assessment Methods:

B: Intellectual and cognitive skills

Learning Methods:
Assessment Methods:

C: Practical skills

Learning Methods:
Assessment Methods:

D: Key skills

Learning Methods:
Assessment Methods:


Note

The University makes every effort to ensure that this information on its programme specification is accurate and up-to-date. Exceptionally it can be necessary to make changes, for example to courses, facilities or fees. Examples of such reasons might include a change of law or regulatory requirements, industrial action, lack of demand, departure of key personnel, change in government policy, or withdrawal/reduction of funding. Changes to courses may for example consist of variations to the content and method of delivery of programmes, courses and other services, to discontinue programmes, courses and other services and to merge or combine programmes or courses. The University will endeavour to keep such changes to a minimum, and will also keep students informed appropriately by updating our programme specifications.

The full Procedures, Rules and Regulations of the University governing how it operates are set out in the Charter, Statutes and Ordinances and in the University Regulations, Policy and Procedures.

Should you have any questions about programme specifications, please contact Course Records, Quality and Academic Development; email: crt@essex.ac.uk.