The cutting-edge program is suitable for forward-thinking, analytical individuals who are pursuing careers in a wide range of data-related fields, preparing them to adapt to new trends in this fast-moving sector. However, we recognize that some students are aiming to enter more specialized areas—which is why the program also features two unique elective tracks. These tracks—Artificial Intelligence and Healthcare and Artificial Intelligence and Data Engineering—are both focused on artificial intelligence (AI) in their respective sectors. Here we take a closer look at the two tracks, what they involve and what career paths they open up to graduates.
Artificial Intelligence and Healthcare: be part of a rapidly evolving field
Why choose this track?
The Artificial Intelligence and Healthcare track is designed for students who are passionate about technology and its applications in the healthcare industry. It’s ideal for those who are keen to explore the intersection of AI and healthcare and who have a strong foundational knowledge of software development and data analysis, as well as an interest in healthcare innovations.
This is the track you should choose if you want to gain specialized knowledge and skills in AI, with a focus on its application in healthcare. The curriculum provides a deep understanding of how AI technologies can be leveraged to improve healthcare outcomes, enhance patient care and revolutionize medical procedures and diagnostics. This track is of particular value to students who aim to be at the forefront of healthcare innovation, combining technical expertise with in-depth knowledge of the healthcare sector.
How is the program structured?
The program allows students to gain three certificates, each designed for specific relevance to data and AI in a healthcare sector that’s being disrupted by emerging technologies.
Certificate 1: Artificial Intelligence.
Courses: Advanced AI; Deep Reinforcement Learning.
Certificate 2: Healthcare Industry.
Courses: Introduction to Healthcare; AI Applications in Healthcare.
Certificate 3: Data and AI in Healthcare.
Courses: Data in the Healthcare Industry; Clinical Data and Law; Machine Learning for Healthcare.
What careers can this track lead to?
On completing the Artificial Intelligence and Healthcare track, students will be ready to take on a variety of AI-related roles in the dynamic and evolving healthcare sector. Potential career paths for graduates include AI healthcare researcher, AI application developer for healthcare solutions, healthcare data analyst, and roles in AI-driven medical diagnostics and patient care optimization. They’ll be prepared to tackle roles requiring a unique blend of skills in AI, data science and an understanding of healthcare processes and regulations.
Artificial Intelligence and Data Engineering: gain skills for a data-driven world
Why choose this track?
The Artificial Intelligence and Data Engineering track is designed for students who have strong computer science skills and a passion for big data and AI technologies. It’s especially suited to those who are eager to take a deep dive into the technical aspects of data processing, management and AI-driven analysis.
If you choose this track, you’ll acquire specialized skills in handling large-scale data and applying AI methods to data-driven decision-making. The curriculum focuses on key areas such as AI implementation, data management and real-time data processing. It’s ideal for those who aspire to excel in the rapidly evolving field of data engineering.
How is the program structured?
The program allows students to gain three certificates, all composed of two courses with direct relevance in this dynamic field.
Certificate 1: Artificial Intelligence.
Courses: Advanced AI; Deep Reinforcement Learning.
Certificate 2: Data in Motion.
Courses: Real-Time Data and AI; Stream Processing.
Certificate 3: Data Engineering.
Courses: DevOps Engineering; Automation and Security Engineering.
What careers can this track lead to?
On completing the Artificial Intelligence and Data Engineering track, students can expect to find job opportunities in various roles within the field of data engineering, enhanced by their AI expertise. These roles may include data engineer, AI system developer, data architect and AI solution architect. They’ll be equipped to work in various industries, where they will apply their skills in designing, building and maintaining scalable data infrastructure and implementing AI solutions.
If you’re aiming to apply your analytical and critical thinking skills to exploit the true power of data in today’s complex, fast-paced world, this unique program could be your next career move. Take a closer look at the Bachelor in Data and Business Analytics to discover more.
