BSc AI in Healthcare and Pharmaceuticals

Program Overview

This online BSc AI in Business - Healthcare & Pharmaceuticals degree focuses on applying AI expertise to improve medical decision-making, accelerate drug research, and optimize treatment pathways. Students develop critical thinking, problem-solving skills, and hands-on experience with AI projects, preparing them for careers in Healthcare AI Implementation Consulting, Innovation Management in the Pharmaceutical Industry, and Data Science in Medical Research. The program offers a flexible study schedule, globally recognized degree, and AI-powered support.

Program Outline

Degree Overview:

This online Bachelor's degree program focuses on applying Artificial Intelligence (AI) and business administration expertise to the healthcare and pharmaceutical industries. It aims to equip students with the knowledge and skills to leverage AI for improving medical decision-making, accelerating drug research, and optimizing treatment pathways.

Objectives:

• Master AI applications in healthcare and pharmaceuticals.
• Develop critical thinking and problem-solving skills.
• Gain hands-on experience with advanced AI projects.

Outline:

Semester 1:

• Business 101: (5 ECTS credits) - Introduces fundamental business concepts.
• Introduction to NLP: (5 ECTS credits) - Covers the basics of Natural Language Processing (NLP).
• Healthcare Management: (5 ECTS credits) - Explores the management principles and practices within the healthcare sector.
• Project: AI Excellence with Creative Prompting Techniques: (5 ECTS credits) - A practical project applying AI techniques for creative problem-solving.
• Electives D: (5 ECTS credits) - Students can choose from a range of elective modules.

Semester 2:

• Introduction to Academic Work: (5 ECTS credits) - Introduces academic research methods and writing skills.
• Principles of Management: (5 ECTS credits) - Covers core management theories and practices.
• Advanced NLP: Generative AI in Business Applications: (5 ECTS credits) - Explores advanced NLP techniques, including generative AI models.
• International Health Systems: (5 ECTS credits) - Examines healthcare systems across different countries.
• Project: AI Product Commercialisation: (5 ECTS credits) - A project focusing on the commercialization of AI-powered healthcare products.
• Electives D: (5 ECTS credits) - Students can choose from a range of elective modules.

Semester 3:

• Deep Learning in Business Contexts: Predictive Analytics: (5 ECTS credits) - Explores deep learning techniques for predictive analytics in business.
• Ethics and Legal Aspects in AI: (5 ECTS credits) - Examines ethical and legal considerations surrounding AI development and deployment.
• Advanced Data Analysis: (5 ECTS credits) - Covers advanced data analysis techniques and tools.
• Introduction to Biomedical AI: (5 ECTS credits) - Introduces AI applications specifically within the biomedical field.
• Project: NLP in Business Applications: Customer Service Automation and Sentiment Analysis: (5 ECTS credits) - A project applying NLP for customer service automation and sentiment analysis.
• Electives D: (5 ECTS credits) - Students can choose from a range of elective modules.

Semester 4:

• Business Intelligence and Data Visualization: (5 ECTS credits) - Covers business intelligence concepts and data visualization techniques.
• Change Management: (5 ECTS credits) - Explores strategies for managing organizational change.
• Augmented, Mixed and Virtual Reality: (5 ECTS credits) - Introduces the concepts and applications of augmented, mixed, and virtual reality.
• Pharmaceutical Management: (5 ECTS credits) - Focuses on the management principles and practices within the pharmaceutical industry.
• Project: AI Change Management: (5 ECTS credits) - A project applying AI for managing organizational change.
• Electives D: (5 ECTS credits) - Students can choose from a range of elective modules.

Semester 5:

• AI Talent Development: (5 ECTS credits) - Explores strategies for developing AI talent within organizations.
• Process Automation: (5 ECTS credits) - Covers process automation techniques and tools.
• Data Analytics and Big Data: (5 ECTS credits) - Examines data analytics and big data management concepts.
• Global Health: (5 ECTS credits) - Explores global health challenges and solutions.
• Project: Generative AI in an Enterprise Context: (5 ECTS credits) - A project applying generative AI models within an enterprise setting.
• Electives D: (5 ECTS credits) - Students can choose from a range of elective modules.

Semester 6:

• Seminar: Ethical Innovation: (5 ECTS credits) - A seminar focusing on ethical considerations in innovation.
• Seminar: AI in Marketing & E-Commerce: (5 ECTS credits) - A seminar exploring AI applications in marketing and e-commerce.
• Project: Low-Code Development: (5 ECTS credits) - A project focusing on low-code development techniques.
• Electives D: (5 ECTS credits) - Students can choose from a range of elective modules.
• Bachelor Thesis: (10 ECTS credits) - Students complete a research-based thesis on a chosen topic related to AI in healthcare and pharmaceuticals.

Electives Overview:

• Elective D: Students can choose to complete an internship in business and management (30 ECTS credits) or six elective modules (30 ECTS credits).
• Internship: Business & Management: (30 ECTS credits) - Students gain practical experience in a relevant business setting.
• Project: Digital Business Models: (5 ECTS credits) - A project focusing on digital business models.
• Project: Business Intelligence: (5 ECTS credits) - A project applying business intelligence techniques.
• Intercultural and Ethical Decision-Making: (5 ECTS credits) - Explores intercultural communication and ethical decision-making.
• Digital Skills: (5 ECTS credits) - Covers essential digital skills for the modern workplace.
• Interaction and Communication in Organisations: (5 ECTS credits) - Examines communication and interaction within organizations.
• Seminar: Current Topics in Digitalization: (5 ECTS credits) - A seminar exploring current trends in digitalization.

Assessment:

The program utilizes a variety of assessment methods, including:

• Projects: Students complete practical projects to apply their knowledge and skills.
• Bachelor thesis: Students complete a research-based thesis on a chosen topic.

Teaching:

• Online learning platform: The program is delivered through an online learning platform, providing students with access to course materials, tutorials, and assessments.
• Live and recorded tutorials: Students can participate in live tutorials with instructors and access recorded tutorials for further learning.
• Individual study coaching: Students can receive individual study coaching from dedicated advisors.

Careers:

The program prepares students for a variety of career paths in the healthcare and pharmaceutical industries, including:

• Healthcare AI Implementation Consultant: Responsible for designing, planning, and implementing AI projects in healthcare settings.
• Innovation Manager in the Pharmaceutical Industry: Drives digital transformation by developing and implementing AI solutions in the pharmaceutical industry.
• Data Scientist in Medical Research: Analyzes and interprets large datasets to enable new insights and innovations in medical research.

Other:

• Flexible study schedule: Students can choose to study full-time or part-time, allowing them to balance their studies with other commitments.
• Globally recognized degree: The program leads to a globally recognized Bachelor of Science degree.
• 4-week money-back guarantee: Students have a 4-week money-back guarantee if they are not satisfied with the program.

Tuition Fees & Discounts Tuition FeesStarting from € 239 (US$ 259) per month based on the exchange rate from 31.07.2024 12:00 AM (CEST) Online applicationNo application fees