Programme And Module Handbook
 
Programme Specification


Date Specification Approved
College College Medicine and Den Sci
School Institute of Clinical Sciences
Department Biomedical Sciences
Partner College and School Computer Science
Collaborative Organisation and Form of Collaboration
Qualification and Programme Title B.Sc. Biomedical Science with Year in Computer Science Full-time
Programme Code 888B
Delivery Location Campus
Language of Study English
Length of Programme 4 Year(s)
Accreditations This programme has no outside accreditations
Aims of the Programme Biosciences:

The first two years of the course builds a detailed understanding of how the human body functions and what can go wrong in disease. The content extends from the single cell to the whole body. The students begin to learn about major pathologies such as cancer, cardiovascular disease, neurodegenerative disease, arthritis and diabetes, and the genetic basis of inherited disorders.

All students take a common set of key subjects which will provide them with the core knowledge to understand the importance of each of the major disciplines of medical science. This forms a strong foundation for their final year. In addition, throughout the course students develop core research skills, such as key technical skills, problem solving ability, data analysis and interpretations, helping them develop an understanding of the key ethical and social issues surrounding medical science.

In the second year there will be an opportunity to specialise in a scientific area of their choice, linked to the College major research themes. This student selected component will allow an in-depth exploration of the area under the guidance of one of our subject experts. The themes will include cancer, neuroscience, infection and immunity, pharmacology and cardiovascular science. This will provide a platform for further specialisation in the third year.

At the end of the second year there is the possibility of taking a year out to gain work experience, by securing a placement in, for example, the pharmaceutical industry. Students may also opt to undertake a summer research project within the College.

During the first term of their final year, students specialise by selecting two taught options from over 20 specialist modules in a wide range of subject areas, including different aspects of neuroscience, cancer, virology, cardiovascular science, pharmacology, endocrinology, stem cell biology, ageing and immunology. Students learn about the latest findings and are exposed to advanced research techniques, guided by internationally recognised experts in these fields.

These taught options lead on to a substantial research project in the spring term, which in the majority of cases is laboratory based specifically within one of our leading research active laboratories.

Students work independently, under supervision, for ten weeks full-time on an original piece of research, acquiring and analysing their own data. The project develops and enhances not just their practical and analytical abilities, but also a range of other skills that will be a key to success in whatever career path they choose.

Computer Science:

Computer Science is both an academic discipline in its own right and an enabling technology for other disciplines: Arts, Humanities and Social Sciences as well as Science and Engineering. The focus here is firmly on Computer Science as an enabling technology. The programme aims to provide a solid, self-contained and coherent core of computer science suitable for combination with a variety of other academic disciplines. It aims to provide:
1. A grounding in the theory underpinning modern developments in computer science.
2. An introduction to practical software design and implementation.
3. A range of options in computer science to cater for a variety of interests and backgrounds.
Programme Outcomes
Students are expected to have Knowledge and Understanding of: Which will be gained through the following Teaching and Learning methods: and assessed using the following methods:
Biosciences:

A wide range of subject areas in the medical sciences.
One (or more) of the major disciplines allied to medicine at an advanced level.
The integrated nature of medical sciences and the experimental processes and analytical methods which underpin them.
The value of medical sciences in an academic, industrial, clinical and ethical context.



Computer Science:

1. The essential facts, concepts, principles and theories relating to Computing and computer applications as appropriate to the topics covered in the programme.
2. Appropriate theory, practices and tools for the specification, design, implementation and evaluation of simple computer-based systems.
Through a combination of integrated lectures; small group teaching; seminars, laboratory experiments and coursework at levels 1, 2 and 3, mini research projects in teams and a final year research project.

Teaching is undertaken by non-clinical and academic staff, many of whom are research active. Students are encouraged to read widely to broaden and consolidate their understanding and knowledge.
Unseen written and MCQ examinations. Course work such as essays, oral presentations, data interpretation exercises and selected laboratory practical reports, including a research project dissertation and scientific presentation at level H.

Group work and team projects are undertaken at all three levels.
Students are expected to have attained the following Skills and other Attributes: Which will be gained through the following Teaching and Learning methods: and assessed using the following methods:
Biosciences:

Reasoning Skills: Participate in the planning, conduct and reporting of a research project.
Reasoning Skills: Apply problem solving skills to situations relating to biomedical sciences showing creativity and the ability to come up with innovative solutions.
Reasoning Skills: Analyse and interpret scientific data from a variety of sources and be able to apply appropriate statistical methods
Reasoning Skills: Apply critical and informed judgement to scientific issues which have an ethical dimension
Practical Skills: Undertake laboratory work safely and competently
Practical Skills: Undertake analytical methods and be familiar with their underlying principles.
Transferable skills: Organise and present information in appropriate written form and as oral/poster presentation
Transferable skills: Use IT and communication technologies effectively
Transferable skills: Use bibliographical databases and library facilities effectively
Transferable skills: Acquire independent learning skills and work to deadlines
Transferable skills: Work effectively in groups towards a common task


Computer Science:

1. The ability to apply the knowledge and understanding noted above to the analysis of a given information handling problem.
2. The ability to specify, design and construct simple computer-based systems, using appropriate tools, and to document all stages of this process.
3. The ability to evaluate computer based systems in terms of general quality attributes and possible trade-offs presented within a given information handling problem.
4. Enhanced awareness of and ability to use general IT facilities, including basic information-retrieval skills.
5. 'Numeracy' in both understanding and presenting cases involving quantitative or similar formal, symbolic dimensions.
6. Management of learning and development, including time management, organizational skills, and the ability to pursue independently further development of their IT education.
Biosciences:

Reasoning Skills
These skills are encouraged throughout the programme. Problem solving skills are developed in SGTs in most modules including from numerical problems, case studies and experimental design. Creative skills are developed in IRES and 3SP. Analysis and interpretation of scientific data is developed through practical work and data evaluation. Opportunities are embedded in all modules. A research project is carried out at level 3. In addition ethical issues are delivered in the context of problem based learning.

Practical Skills
These skills are developed through a programme of laboratory practical classes and associated lectures / demonstrations (levels 1 , 2 and 3) and during an extended laboratory research project (level 3).

Transferable Skills
Tuition is given in IT and communication technologies and on locating and extracting information from a variety of electronic and printed sources. Guidelines are provided on coursework such as essays and oral presentations and reinforced through feedback on assignments. These activities are further reinforced by independent learning exercises.



Computer Science:

1. Lectures, Tutorials, Exercise classes, Practical work, Independent study

2. Lectures, Tutorials, Exercise classes, Practical work, Independent study.

3. Lectures, Tutorials, Exercise classes, Practical work, Independent study.


4. Practical work


5. Lectures, Tutorials, Exercise classes, Practical work, Independent study.
6. Lectures, Tutorials, Exercise classes, Practical work, Independent study.
Biosciences:

Reasoning Skills
Throughout the course elements of practical work are summatively and formatively assessed. Problem solving, data interpretation and scientific writing is assessed by small group teaching sessions and submitted written work. At advanced level a dissertation is produced for assessment of the 3rd year research project.

Practical Skills
Experimental results obtained in selected laboratory classes are assessed. The 3rd year project dissertation is assessed.



Transferable Skills
Through coursework, essays, and presentations. IT skills are assessed by a graded series of tasks undertaken during a taught session, and as part of other coursework submissions.








Computer Science:

1. Examinations, Coursework, Reports



2. Coursework, Examinations



3. Coursework, Reports, Examinations, Presentations



4. Coursework


5. Coursework, Reports, Presentations, Examinations

6. Coursework, Presentations