Overview

This three-day course will help you prepare your biotech/biomanufacturing business to transition into a digi-compliant mode of operation.

You'll learn about:

• critical choices and considerations
• benefits of digital-readiness of a bio-business
• how digital technologies can improve bioprocess development and operation

You'll also explore how simple and easy-to-adopt tools can provide substantial benefits in data analysis, and help make data-driven decisions on process development and optimisation.

During the course you'll be able to network with sector leaders and subject matter experts and hear from end-users about their first-hand experience.

Course content and structure

Teaching is in small classes, with an emphasis on interactive problem solving and case studies.

Expert lectures will cover the following topics:

• Systematic data acquisition and storage infrastructures
• Management of large data storage and handling platforms
• Pipelines for retrospective analysis of historical datasets for process development and optimisation
• Development of efficient process models enabled through high quality data availability
• Role of bioprocess automation and semantics in supporting automation-related decisions
• Role of metabolic models in bioprocess monitoring and control
• Out-of-the-box thinking in adopting the most suitable configuration to address the needs of specific bioprocesses
• Regulation of the use of AI in Biopharma and Biologics

Who the course is for

The course is designed for all those involved in making decisions around bioprocess development and optimisation. This includes:

• project managers
• chief scientific officers
• biotech investors and startup owners
• research managers and consultants

Costs and group bookings

The standard price for this course is £1,750.

Special prices are available for groups and SMEs. Contact mbi-training@ucl.ac.uk for more information.

Course fees include materials, lunches and refreshments. Accommodation isn't included, but details of special rates at nearby hotels will be sent with your registration pack.

Modular Training for the Bioprocess Industries (MBI)

The award-winning MBI programme is a series of UCL-accredited short courses for people working in the bioprocessing industry. It's designed and delivered in collaboration with over 70 industrial experts.

The programme provides flexible professional development training. You can choose to take standalone courses or combine them for a Certificate, Diploma or Master's qualification. It complements in-house training by providing broader perspectives for more informed decision-making.

Courses have so far been delivered to over 900 individuals from more than 300 companies, 30% of which are non-UK, demonstrating its strong international impact.

MBI plays a central role in the department's knowledge-transfer activities. This ensures that cutting-edge research is undertaken to capture the value of integrating engineering with complex and fast-moving biology, which helps keep the global industry ahead in manufacturing.

Benefits of MBI

By attending an MBI course, you'll:

• benefit from knowledge transfer and upskilling in core bioprocessing fundamentals and trends in industry
• gain a deeper understanding of process options and engineering constraints
• acquire the tools to optimise process performance and economics
• learn about the latest technical and regulatory developments
• have access to cutting edge research methodologies
• network with sector leaders and subject matter experts
• increase your flexibility, motivation, creativity and professional status

Further information

There is more information about the MBI on the Department of Biochemical Engineering's website. If you have questions about fees or how to combine courses for a specific qualification, please email mbi-training@ucl.ac.uk

Course team

Duygu Dikicioglu - Module Leader

Duygu is an Associate Professor in Digital Bioprocess Engineering in the Department of Biochemical Engineering at UCL.

Course information last modified: 30 Nov 2022, 16:00