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Professional Diploma in Introduction to Medical Device and Pharmaceutical Process Technology

Start Date Friday 25th September 2026
Duration 10 weeks, 3 hours per week
Learning Mode Blended Online
Contact Hours 30

This Pharmaceutical Process and Medical Device Technology course is designed to provide learners with a good understanding of medical device and pharmaceutical development life cycles and the organisation and department functions of a medical and pharmaceutical plant. This will engage the learner with the technology, equipment, processes, operations and regulations of medical device and pharmaceutical manufacturing plants to enable them to follow a career path in the life science discipline. The course will also assess emerging trends such as Industry 5, Artificial Intelligence and Automation.

The Pharmaceutical Process and Medical Device Technology  course is supported by industry experts and real-world examples of the application of Lean Six Sigma in a variety of contexts. Learners will be supplied with instructor materials, including class notes, videos, case studies and exemplars on a weekly basis.

Professional Diploma in Introduction to Medical Device and Pharmaceutical Process Technology
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Course Details

Pharmaceutical Process and Medical Device Technology course topics covered:

Unit 1: Medical Device & Pharmaceutical Development Life Cycles
(Course Outcome 1, W1 &2)

  • Overview of the medical and pharmaceutical industry
  • Introduction to Medical Device and Pharmaceutical Development Life Cycles
  • Relevance of Medical Device and Pharmaceutical Development Life Cycles in Plant Operations
  • Clinical trials
  • The regulatory requirements which must be met before manufacturing can commence
  • Manufacturing and distribution

Unit 2: Medical and Pharmaceutical Plants
(Course Outcome 2, Week 3 & 4)

  • Introduction to Medical and Pharmaceutical manufacturing Plants
  • Functions within a Medical and Pharmaceutical manufacturing Plant
  • Departments within a Medical or Pharmaceutical manufacturing Plant
  • Integration and Collaboration in Plant Operation

Unit 3: Medical Device & Pharmaceutical Manufacturing Technologies
(Course Outcome 3, Week 5 & 6)

  • Overview of medical device manufacturing technology & equipment
  • Overview of pharmaceutical manufacturing technology & equipment
  • Comparative analysis of technology in medical device and pharmaceutical manufacturing
  • Successful implementation of technology in manufacturing plants

Unit 4: Regulation and Standards in Medical Device and Pharmaceutical Manufacturing
(Course Outcome 4, Week 7 & 8)

  • Overview of Regulations and Standards in Medical Device and Pharmaceutical Manufacturing
  • Adhering to regulations and standards in manufacturing plants
  • Regulatory Requirements for Medical Device and Pharmaceutical Manufacturing Plants
  • Compliance and Auditing Processes

Unit 5: Emerging Trends in Medical Device and Pharmaceutical Manufacturing
(Course Outcome 5, Week 9 & 10)

  • Future prospects of AI integration in the industry
  • The Impact of Automation on medical device and pharmaceutical production
  • Industry 5 and its Implications
  • Ethical considerations surrounding in healthcare manufacturing

If the Pharmaceutical Process and Medical Device Technology course topics interest you, be sure to enquire today.

*Course content is subject to review after each intake and may be updated in line with industry standards.

The Pharmaceutical Process and Medical Device Technology  course is assessed through one piece of course assessment which requires the learner to work within a group to examine emerging technologies and their potential application in Pharmaceutical and Medical device manufacturing environments.

Learners, through their individual roles and responsibilities, will appraise the technologies and case study presented, and provide recommendations to the organisation. The project will be due in Week 10 of the programme.

This Pharmaceutical Process and Medical Device Technology course is aimed at those interested in acquiring a foundational knowledge into the operations of a pharmaceutical and medical device manufacturing organisation.

The course will explain the various functions and departments within a medical and pharmaceutical plant and how they contribute to the overall operation, including an examination of the various technologies used with consideration for regulation.

The Pharmaceutical Process and Medical Device Technology course will also explore emerging trends in the industry such as Industry 5, Artificial Intelligence and Automation.

At the end of the Pharmaceutical Process and Medical Device Technology course you will be able to:

  1. Describe the medical device and pharmaceutical development life cycles and explain their relevance in the context of a medical and pharmaceutical plant.
  2. Identify and explain the various functions and departments within a medical and pharmaceutical plant and how they contribute to the overall operation.
  3. Examine and compare the technology and equipment used in medical device and pharmaceutical manufacturing plants, highlighting their advantages and limitations
  4. Summarise the regulations and standards that govern the operations of medical device and pharmaceutical manufacturing plants.
  5. Discuss the emerging trends in the industry, such as Industry 5, Artificial Intelligence, and Automation, and their potential impact on medical device and pharmaceutical manufacturing.

Professional Diploma in Introduction to Medical Device and Pharmaceutical Process Technology

Hesborn Omwandho

Hesborn Omwandho

MSc in Bioinformatics

Hesborn Oburah holds a bachelor’s degree in Biomedical Science from Egerton University and a Master’s degree in Bioinformatics from Pwani University (Collaborative research with Cambridge University). He is also currently working towards his PHd at University College Dublin.

Hesborn has experience in Data Mining, using deep learning & machine learning models for pattern recognition and predictive modeling, as well as experience in image data augmentation, transfer learning, and hyper-parameter tuning. As part of his research he deployed a neural network for recognising and classifying diseased plant images and SARS-CoV-2 variant classification, increasing clinical turnaround time for diagnosis.

He has over 3 years experience in instructing concepts for master’s and undergraduate students in data science, Transcriptomics, Phylogenetics & Genome-wide association studies. Concepts in chemoinformatics, such as protein structure, docking of ligand to protein structure using the Alphafold framework, and Primer Design.

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Professional Diploma in Introduction to Medical Device and Pharmaceutical Process Technology