Bioinformatics (with Advanced Practice)

Program Overview

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Bioinformatics (with Advanced Practice) MSc

Overview

This programme teaches you how to manage and manipulate large datasets to reveal new insights in biological sciences. You get intensive training in a computer-based approach to biological research. You develop the computational and analytical understanding necessary as a platform for processing biological data. This involves the appreciation of biochemistry and molecular biology, together with IT and specialist skills in computer programming, data analysis, statistics and computational biology for multidisciplinary careers in research.

Course Structure

Core Modules

• Advanced/Applied Practice in Health & Life Sciences
• Bioinformatics Analysis Techniques and Tools
• Data Analytics
• Genomic Technologies
• Life Science Research Project
• Proteomic Technologies
• Python for Bioinformatics
• R for Bioinformatics

Optional Modules

• Modules offered may vary.

How You Learn

Making the transition to postgraduate-level study can be challenging. Support with making this transition is seen as an important element of this programme.

• The Data Analytics and Algorithms for Bioinformatics and Database Theory and Application modules help you understand the requirements of academic study at postgraduate level, to enhance your skills in academic writing and referencing, and to help you develop the skills necessary to operate professionally and ethically in planning and implementing a master’s-level research project.
• By including work-based problem-solving projects and case study exercises this programme emphasises real-world working. This helps to develop your critical thinking skills as well as your ability to design, execute and present findings of research, allowing you to cultivate the skills employers are seeking to set you on a successful career path.
• A significant feature of the programme is the opportunity to gain experience of working in state-of-the-art bioinformatics research facilities within the National Horizon Centre.

How You Are Assessed

Modules are assessed by a variety of methods including exams and in-course assessment with some using other approaches such as group work, verbal or poster presentations.

• Your Advanced Practice module is assessed by an individual written reflective report (3,000 words) together with a study or workplace log, where appropriate, and through a poster presentation.

Entry Requirements

Applicants are normally expected to have at least a UK 2.2 honours degree, or equivalent, in a subject related to life or physical sciences. If your first degree is not in one of the subject areas listed above please contact our admissions team for guidance and advice on how you might become eligible. We may be able to offer you alternative access routes.

• International applicants can find out what qualifications they need by visiting Your Country.
• In addition, international students normally need at least a 6.0, with no component below 5.5, in the International Language Testing System (IELTS) test.

Employability

Work Placement

There may be short-term placement opportunities, particularly during the project phase of the course.

Career Opportunities

Our bioinformatics programme equips you with a strong foundation for further PhD research or for prospective employment. There is an increasing demand for bioinformatics skills across the biotechnology, life sciences and pharmaceutical sectors. The ability to manage, analyse, integrate and visualise big data using technologies such as Python and R is also applicable to fields including software development, data analytics and finance.

Information for International Applicants

Qualifications

International applicants - find out what qualifications you need by selecting your country below.

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Useful Information

Visit our international pages for useful information for non-UK students and applicants.

Fees

Full-time

• Fee for UK applicants: £5,417.50 a year
• Fee for international applicants: £10,000 a year
• Length: September enrolment: 20 months, including a summer break; January enrolment: 2 years, including two summer breaks
• Start date: January or September

Part-time

• Not available part-time

Why Choose Teesside?

• Stand out from other job applicants with your higher level qualification, specialist knowledge and expanded networks.
• Improve your project management, critical thinking, research skills, time management, presentation skills and teamwork.
• The median salary for working-age postgraduates (£45,000) was £6,500 more than for working-age (those aged 16 to 64) graduates (£38,500) in 2022. (Graduate labour market statistics, tees.ac.uk/source)
• Study in our friendly town-centre campus with £280m of recent investment.
• Study at Europe's first Adobe Creative Campus and develop your creative and digital skills.

Program Outline

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Bioinformatics (with Advanced Practice), MSc: Detailed Information Extraction

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Degree Overview:

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The curriculum focuses on:

• Computer-based approaches to biological research
• Computational and analytical understanding
• Data analysis, statistics, programming, bioinformatics principles

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Program benefits include:

• Career-relevant practical experience through advanced practice (AP)
• Research and analysis skills development through project work at National Horizon Centre
• Cutting edge laboratory and bioinformatic facilities
• Focus on real world applications

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Outline:

The full-time program takes 1 year, while the full-time with advanced practice option takes 2 years.

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Core Modules (full-time):

• Advanced/Applied Practice in Health & Life Sciences
• Bioinformatics Analysis Techniques and Tools
• Data Analysis
• Genomic Technologies
• Life Science Research Project (12 weeks, full time)
• Proteomic Technologies
• Python for Bioinformatics
• R for Bioinformatics

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Optional Modules:

• Database theory and applications
• Data analytics
• Algorithms for bioinformatics

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Course Structure:

• Lectures: Interactive and seminar-based for theoretical understanding
• IT Laboratories: Coupled to lectures for practical skill application
• Research Project: Individual research project within a research group
• Advanced Practice (AP):
• Vocational or research internship
• Developed by the university
• Work-based project for external organization
• Assessment Methods: Exams, coursework assignments, individual research project report, poster presentation, individual reflective reports for AP
• Grading criteria: Assesses knowledge, skills, critical thinking, and research competency

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Additional Points:

• Taught at Teesside University's Darlington campus whenever possible.
• The course equips students for further PhD research and employment opportunities.
• Students gain practical experience through short-term placements and research projects.

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Assessment:

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Assessment methods for this program include:

• Examinations
• Coursework assignments
• Individual research project report (3000 words) + study/workplace logs (if applicable)
• Poster presentation
• Individual reflective reports for Advanced Practice (AP) module

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Assessment criteria:

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Grading criteria:

Assessment criteria across modules will vary but generally encompass:

• Knowledge demonstration
• Skill application
• Critical thinking ability
• Research competency

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Teaching:

• Lectures are interactive and seminar-based, focusing on theoretical understanding of bioinformatics concepts and principles.
• IT laboratories are coupled with lectures, allowing students to practice and develop core computing skills by tackling exercises, project code, and manipulating, processing, and interpreting biological data using technologies like R and Python.
• Life Science research project
• Advanced/applied practice allows students to gain further practical experience through work placements and research projects, fostering valuable real-world application skills.

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Careers

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This program equips graduates for careers in various sectors including:

• Biotechnology
• Life sciences
• Pharmaceuticals
• Software Development
• Data analytics
• Finance

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Graduates will be equipped with skills in:

• Data management
• data analyis
• Integration
• Visualization
• Using technologies such as Python and R

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This MSc degree prepares graduates for:

• PhD Research
• Employment in diverse sectors

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Other

• The program emphasizes practical experience and real-world application through work-based problem-solving projects and case study exercises.

• The program is delivered at the state-of-the-art bioinformatics research facilities within the National Horizon Center.

• The program is designed for students with backgrounds in life or physical sciences.
• International applicants may need additional qualifications or meet specific English proficiency requirements.

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Fees:

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Fees for the program are:

• £4,770 per year for UK students
• £10,000 per year for international students.

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Summary

This detailed information extraction of the MSc in Bioinformatics (with Advanced Practice) program from Teesside University provides a comprehensive overview of the course content, structure, assessment methods, teaching approaches, and career prospects. The program offers a unique combination of theoretical knowledge and hands-on experience, preparing graduates for successful careers in various scientific, research, and technological sectors.

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Tuition Fees and Payment Information:

• Full-time
2024/25 entry Fee for UK applicants £4,770 a year
• Fee for international applicants
£10,000 a year