Awards
Target Award
Award Description:Bachelor of Science with Honours (SW) - SBSH
Alternative Exit
Recruitable Target
Alternative Exit
Alternative Exit
Accreditation
BCS, the Chartered Institute for IT
Programme Offerings
Sandwich Year Out
F2F-JMU-SEP
Educational Aims of the Course
Data Science is a degree that provides students with a comprehensive education, skills and learning experience in the discipline of data science. The programme provides graduates with a solid computing background in general, specific knowledge and understanding of the latest developments in data science. The specific aims of the programme are as follows: • To provide students with a comprehensive understanding of current and developing data science approaches. • To provide students with relevant technical skill and experience in the application of the methodologies and techniques of data science. • To develop students' analytical, creative, problem-solving and evaluation skills. • To encourage students to become autonomous learners. • To provide a platform for career development, innovation and further postgraduate study. • To encourage students to engage with the development of employability skills by completing a self-awareness statement. • To facilitate students in the development of expertise in areas of direct and complementary relevance to gaining employment. • For students undertaking a placement year the aim is to provide students with an extended period of work experience at an approved partner that will complement their programme of study at LJMU. This will give the students the opportunity to develop professional skills relevant to their programme of study, as well as attitude and behaviours necessary for employment in a diverse and changing environment.
Learning Outcomes
1.
Comprehend current and developing principles and practices within data science.
2.
Creatively deploy appropriate tools and techniques for the development of data science applications.
3.
Appraise data science techniques and their range of applicability in different problems areas.
4.
Develop and evaluate applications for data problematic domains.
5.
Deploy effective data science solutions.
6.
Use and develop supporting technologies for data science.
7.
Use a wide range of computing facilities effectively.
8.
Plan and manage projects.
9.
Use information technology, e.g. Software Development tools.
10.
Apply numerical and formal methods skills to cases involving a quantitative dimension.
11.
Communicate effectively by written or verbal means.
12.
Have widened and deepened their knowledge and skills in the area of data science, their applications and supporting technologies.
13.
Plan and manage learning and development.
14.
Have been exposed to and applied a range of tools, techniques and approaches currently being used in the application of data science.
15.
Have analysed and developed a major piece of work in the area.
16.
Be able to understand current issues in the relevant aspects of data science.
17.
Be able to study independently and have developed transferable skills.
18.
Work more effectively as part of a team or as a team leader.
19.
Demonstrate knowledge and understanding of current issues, concepts, principles and theories related to data science use and development.
20.
Utilise problem solving skills.
Teaching, Learning and Assessment
These include lectures, tutorials, laboratory work, coursework (both individual and group coursework),projects, seminars and guided independent study. Students are given feedback on all assessed work produced. Students are motivated by being given a specific task with an achievable outcome, ranging from completion of a small tutorial exercise to a full-scale individual project at Level 6. Knowledge and understanding is assessed via formal examination, individual and team coursework, demonstration of practical work, and a full-scale individual project at Level 6. Assessment methods for each module are specified in the module specifications. Each module is assessed by examination and/or coursework. Skill 1 is developed through tutorial group discussion, team work, coursework, projects and presentations. Skills 2, 3 and 4 are developed through laboratory work, coursework and projects. Skills 4 is developed though coursework, projects and guided independent study. These skills are assessed by coursework (1-4) laboratory work (2-4),and formal exams (1, 2, 3 and 4),as well as project work, reports and presentations (3-4). Practical skills are developed throughout the programme. The many laboratory or workshop based modules reinforce the learning of practical skills. Coursework and projects are designed to provide practical opportunities for students to work independently and in groups. The various programming and computer based modules provide important exposure to industrial standards. Skills 1, 2, 3, and 4 are developed through laboratory work, coursework and project work. Skill 5 is developed through individual and group coursework, laboratory work and project work. Practical skills are assessed via laboratory sessions, workshops, submission of reports, demonstration of systems, industrial placement and individual projects. Personal Development opportunities are inherent within the programme. The placement year is assessed, by portfolio, on a pass / fail basis. Key skills are developed throughout the programme in a variety of forms. Specifically through a combination of research related coursework, guided independent study and projects, examinations, group work and presentations. Skill 1 is developed through a combination of research-related coursework, guided independent study, and projects. Skill 2 is developed through study of technical methods, examinations, coursework, and projects. Skill 3 is developed through report writing for coursework and projects, written examinations, teamwork, presentations, and group discussion. Skill 4 is developed via the management of learning tasks and deadlines for coursework and projects. Key skills are assessed as part of coursework (1-4),projects (1-4),written examinations (2,3) and presentations (3).
Programme Structure
Programme Structure Description
The placement year, module 5107COMSCI, will follow Level 5 and students will be enrolled on a 480 credit honours sandwich programme. The Level 5 mean for the final award mark will be calculated based upon the 240 credits at Level 5. Students successfully completing the assessment of the placement year … For more content click the Read More button below.