BSc Data Science, AI and Digital Business (Kingston University London) - Double Degree

Our Bachelor of Science (B.Sc.) in Data Science, AI, and Digital Business Double Degree program, offered by Kingston University London in collaboration with GISMA University of Applied Sciences, is designed to prepare students for the future of technology-driven business. This program combines expertise in data science, artificial intelligence, and digital business strategies, emphasizing areas such as data analytics, AI applications, digital transformation, and business innovation. Students benefit from studying in two dynamic environments—London and Berlin—gaining insights into both UK and German business landscapes.

Career Path

Graduates of this program can pursue careers Data Scientist, Artificial Intelligence Specialist, Business Intelligence Analyst, Digital Transformation Consultant, Machine Learning Engineer, Data Analyst, Big Data Engineer, Digital Marketing Analyst, E-commerce Strategist, IT Project Manager, Blockchain Developer.

Eligibility

Post Study Work Visa

Post Study Work Visa availability - YES

Admission Requirement

We’ve simplified the admission process to help you get started quickly and easily. You can find all requirements for admission to GISMA University Applied Sciences below;



1. WASSCE/A level Certificate 

2. School Transcript

3. Passport

4. Recommendation Letter

English Language Requirement

GISMA University of Applied Sciences,  will accept, for the purposes of meeting the English proficiency requirement, English taken in 12-year education, or English is designated as the primary and official language and the principle language of instruction. If you do not meet the English language requirements yet, you can achieve the level you need by successfully completing a pre-sessional English programme with the university or submit 

1. English language proficiency at a minimum of IELTS band 6.5 (or equivalent) or PTE Score or Duolingo English Test score before you start your course.

Intakes

October, 2025

From January, 2025 to July, 2025

Open

January, 2026

From April, 2025 to October, 2025

Open

April, 2026

From August, 2025 to February, 2026

Open

July, 2026

From October, 2025 to April, 2026

Likely Open

October, 2026

From December, 2025 to July, 2026

Likely Open

January, 2027

From April, 2026 to October, 2026

Not Open

April, 2027

From August, 2026 to February, 2027

Not Open

July, 2027

From October, 2026 to April, 2027

Not Open

October, 2027

From December, 2026 to July, 2027

Not Open