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This module will provide a comprehensive understanding of the fundamental principles of genomics and the high throughput technologies used in cancer genomics research. We will explore the structure and organisation of the human genome, the concepts of germline and somatic variants, coding and non coding variants and their effect on the cancer cell, regulation of gene expression and epigenetic modifications in cancer. Students gain practical experience of basic bioinformatics data analysis and interpretation preparing them for careers in cancer genomics. Students are not expected to have prior bioinformatics or computational biology expertise prior to this module.

This module will provide a comprehensive understanding of the fundamental principles of genomics and the high throughput technologies used in cancer genomics research. We will explore the structure and organisation of the human genome, the concepts of germline and somatic variants, coding and non coding variants and their effect on the cancer cell, regulation of gene expression and epigenetic modifications in cancer. Students gain practical experience of basic bioinformatics data analysis and interpretation preparing them for careers in cancer genomics. Students are not expected to have prior bioinformatics or computational biology expertise prior to this module.

This module consists of 9 x 2-hour sessions covering 5 topics.

Click on the timetable link for timetables and details of topics covered. Prior to each topic, the relevant journal and supporting documentation will be uploaded onto the course materials section of the blackboard.

Each topic will be taught by an academic with a specialist interest in the subject area. The first session will consist of a seminar. The content of the seminar will then be discussed by the group, including the lecturer, in order to clarify any points and to frame any questions arising from the lecture that the students find interesting.

A journal paper that extends or applies the knowledge in the seminar, will then be shared with the students. Students should read the methods section immediately, in order to ensure that they are familiar with the basic principles of the techniques and/or any confusing abbreviations used. Methodological queries will be discussed at the session.

The paper and background questions arising from the paper or the seminar will form the basis of the work in the following session (except for topic 5).

For topic 1, students will submit a written critical review of the paper stating the hypothesis and summarising the background, results and conclusion with comments on strengths, weaknesses and any new questions arising as a consequence of the paper. This will be a formative assessment and the critical analysis of the paper and feedback on the written reviews will be discussed during the session 2 of topic 1.

For topics 2, 3 and 4, one or several students will make an oral presentation of the paper, and all the students will be expected to join in a discussion of the paper during and after the presentation. All students will be expected to research other articles to bring to the general discussion of the selected paper. The student(s) who give the presentation will not be assessed on their contribution to the discussion. All students will be given marks for either their oral presentation or discussion contribution for these 3 topics.

For topic 5, all the students will write a critical review of the paper stating the hypothesis and summarising the background, results and conclusion with comments on strengths, weaknesses and any new questions arising as a consequence of the paper. This will be a summative assessment. There will be no session 2/oral presentation for this topic.

Although there is no specific pre-requisite for this module, this is a level 7 module, and an undergraduate level knowledge of immunology is expected.

This module consists of 9 x 2-hour sessions covering 5 topics.

Click on the timetable link for timetables and details of topics covered. Prior to each topic, the relevant journal and supporting documentation will be uploaded onto the course materials section of the blackboard.

Each topic will be taught by an academic with a specialist interest in the subject area. The first session will consist of a seminar. The content of the seminar will then be discussed by the group, including the lecturer, in order to clarify any points and to frame any questions arising from the lecture that the students find interesting.

A journal paper that extends or applies the knowledge in the seminar, will then be shared with the students. Students should read the methods section immediately, in order to ensure that they are familiar with the basic principles of the techniques and/or any confusing abbreviations used. Methodological queries will be discussed at the session.

The paper and background questions arising from the paper or the seminar will form the basis of the work in the following session (except for topic 5).

For topic 1, students will submit a written critical review of the paper stating the hypothesis and summarising the background, results and conclusion with comments on strengths, weaknesses and any new questions arising as a consequence of the paper. This will be a formative assessment and the critical analysis of the paper and feedback on the written reviews will be discussed during the session 2 of topic 1.

For topics 2, 3 and 4, one or several students will make an oral presentation of the paper, and all the students will be expected to join in a discussion of the paper during and after the presentation. All students will be expected to research other articles to bring to the general discussion of the selected paper. The student(s) who give the presentation will not be assessed on their contribution to the discussion. All students will be given marks for either their oral presentation or discussion contribution for these 3 topics.

For topic 5, all the students will write a critical review of the paper stating the hypothesis and summarising the background, results and conclusion with comments on strengths, weaknesses and any new questions arising as a consequence of the paper. This will be a summative assessment. There will be no session 2/oral presentation for this topic.

Although there is no specific pre-requisite for this module, this is a level 7 module, and an undergraduate level knowledge of immunology is expected.

This module is designed to build upon knowledge gained from BIOL6038 Immunology module in Semester 1, providing an in-depth overview of the role of the immune system in cancer and targets for immunotherapeutic strategies. This module is taught by world leading experts in the field of Cancer Immunology and the content of the module is informed by current ongoing research and clinical trials being carried out Southampton.

This module is designed to build upon knowledge gained from BIOL6038 Immunology module in Semester 1, providing an in-depth overview of the role of the immune system in cancer and targets for immunotherapeutic strategies. This module is taught by world leading experts in the field of Cancer Immunology and the content of the module is informed by current ongoing research and clinical trials being carried out Southampton.

The Capstone Project provides you with the opportunity to conduct a significant piece of independent research on a topic of your choice or a topic related to a specific company context.

You will investigate a practical problem or issue relevant to your degree programme by collecting primary and/or secondary data with a focus on AI-enabled business solutions.

You will choose from two dissertation formats, either: a traditional academic thesis related to Management and AI; or a company-specific/ applied research project investigating an AI-related business solution. The latter can be either, i) A consultancy-type project investigating and recommending a bespoke AI-related business solution, or ii) A business plan for a new AI-related business venture.

The Capstone Project provides you with the opportunity to conduct a significant piece of independent research on a topic of your choice or a topic provided by a company

You will investigate a practical problem or issue relevant to your degree programme by collecting primary and/or secondary data with a focus on AI application to business

You will choose from three different project formats

Academic article related to Management and AI

Consultancy project about developing an AI business application

Business plan on an AI business venture

This module aims to increase your research-led analytical skills in the handling of sub-surface data using the digital tools routinely employed within the carbon capture and storage (CCS) and energy industries. The course is almost entirely work-station driven with emphasis on integrated group projects and deskside coaching. You will find similar software tools used globally for a range of applications that require subsurface imaging and rock property characterisation, such as energy, environment or minerals. The course will emulate work flows commonly employed in industry and it represents a valuable opportunity to enhance your employability as society moves forward with the transition to green energy and carbon reduction. The methods used are also utilised in academic research for interpreting the sub-surface environment and its development across a range of geological and geophysical projects.

This module aims to increase your research-led analytical skills in the handling of sub-surface data using the digital tools routinely employed within the carbon capture and storage (CCS) and energy industries. The course is almost entirely work-station driven with emphasis on integrated group projects and deskside coaching. You will find similar software tools used globally for a range of applications that require subsurface imaging and rock property characterisation, such as energy, environment or minerals. The course will emulate work flows commonly employed in industry and it represents a valuable opportunity to enhance your employability as society moves forward with the transition to green energy and carbon reduction. The methods used are also utilised in academic research for interpreting the sub-surface environment and its development across a range of geological and geophysical projects.