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Students
Tuition Fee
GBP 28,900
Per year
Start Date
Medium of studying
On campus
Duration
12 months
Program Facts
Program Details
Degree
Masters
Major
Biotechnology | Genetics | Molecular Biology
Area of study
Natural Science
Education type
On campus
Timing
Full time
Course Language
English
Tuition Fee
Average International Tuition Fee
GBP 28,900
Intakes
Program start dateApplication deadline
2023-09-192023-08-01
2024-01-092023-12-01
2024-09-01-
About Program

Program Overview


The Artificial Intelligence in the Biosciences MSc program equips students with the skills and knowledge to apply AI and machine learning tools in the biosciences field. The program emphasizes practical applications, data science, and coding skills, preparing graduates for careers in research, data analysis, and AI development in the biosciences sector. The program offers flexibility in elective modules, allowing students to tailor their studies to their interests and career aspirations.

Program Outline


Artificial Intelligence in the Biosciences MSc


Degree Overview:

  • Objective: This MSc program equips students with the skills and knowledge to apply artificial intelligence (AI) and other machine learning tools in the biosciences field, addressing contemporary issues and advancements.
  • Unique Features:
  • Strong focus on practical applications of AI and related computational techniques.
  • Emphasizes data science and coding skills, making graduates highly competitive in the job market.
  • Designed for students from various backgrounds, including biosciences, ecology, biomedicine and chemistry, with relevant skills and knowledge.
  • Target Students: This program targets individuals who want to:
  • Become leaders in applying AI methods to address problems in professional bioscience research and development settings.
  • Acquire expertise in computational techniques to analyze large and complex datasets.
  • Module Schedule:
  • September 2024
  • PC laboratory and the Fogg Building
  • Individual Module Descriptions:
  • Compulsory Modules:
  • Shell command and HPC usage
  • Coding for bioscientists
  • Introduction to AI concepts and applications in bioinformatics
  • Large data analysis with large genomic datasets
  • AI and data analytics in ecology and evolution
  • AI and data analytics in physiology and biomedicine
  • Missing bio-data team challenges
  • AI in the bio-research project
  • Elective Modules:
  • Students choose one module from a wide range of options offered in other programs.
  • Flexibility: The program allows for some flexibility in choosing elective modules to tailor your learning to specific interests and career aspirations.

Assessment:

  • Assessment Methods:
  • A combination of essays, practical assignments, a group project, and a presentation are used to evaluate student understanding and performance.
  • The AI in the bio-research project involves working with researchers on a real-world AI challenge, culminating in a written report and oral group presentation.
  • Criteria:

Teaching:

  • Teaching Methods:
  • Lectures, seminars, tutorials, workshops, and practical sessions are employed to deliver the content.
  • The program utilizes the PC laboratory, Apocrita high-performance computing cluster, and other resources.
  • Faculty:
  • The program benefits from expertise of academics in AI, bio-informatics, genomics, bio-medicine, data science, quantitative biology, computer science and mathematics.
  • Faculty are actively engaged in research, bringing real-world experience and cutting-edge knowledge to the classroom.
  • Unique Features:
  • Emphasis is placed on hands-on experience through coding exercises and practical assignments.
  • Students gain access to industry-standard software and computational resources.

Careers:

  • Potential Career Paths: Graduates of this program are well-positioned for various career pathways, including:
  • Research scientist in bioscience companies or research institutions.
  • Data analyst in a variety of industries, including pharmaceuticals, biotechnology, agriculture, or environmental consulting firms.
  • AI specialist or developer in the biosciences sector.
  • Career Opportunities:
  • Graduates are highly sought-after due to the increasing demand for individuals with expertise in AI and data analysis.
  • Location: Mile End campus, East London.
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