B.Sc in Data Science

Data science is the core of the modern data analytics and engineering revolution, turning data into intelligence and information for decision-making and for solving complex, multi-faceted problems. It is a young discipline, and demand for expertise in all aspects of data science is growing very quickly. Because of this strong global demand, the role of a data scientist is frequently ranked as the most promising career and consistently tops the best jobs rankings, with professionals in the field reporting high demand, high salaries, and high job satisfaction.

The BSc in Data Science programme is based on a strong mathematical and statistical foundation and emphasizes large-scale data preparation, visualization, computation, and analysis using the most relevant and up-to-date programming languages. Depending on their interests, graduates may find employment in the areas of business, finance, government, science, transportation, forensics, energy, the environment, or academic research.

As a graduate of the programme, you should be able to proceed directly to a post as a data scientist in industry, commerce, or government. The skills you will acquire could also be applied to the founding or management of businesses relating to a broad set of data analytic services.

Why take up B.Sc in Data Science?

• Ever-evolving industry – The global data analytics market has been estimated to reach $24.63 billion in 2021 and is projected to grow by $446.6 billion during the forecast period till 2030.
• Endless Opportunities – According to the World Economic Forum report titled future jobs 2020 there will be an increasing redundancy in traditional job roles by 15.4% while a surge of 97 million job roles by 2025 for future skills like data science & AI. This makes Data Science & AI a highly employable job sector.
• Earning Prospects – Data Science is one of the most highly paid jobs. According to Glassdoor, Data scientists make an average of a minimum $116,100 per year. This makes Data Science a highly lucrative career option.
• Highly in-demand – There’s a global rise in the demand for data scientists because there’s a shortage of talented individuals in this field to keep up with the demand. According to Robert Half, data science jobs take up half of their top-paying IT jobs for 2021 globally.
• Global mobility and professional growth – Data science is not limited to only consumer goods or tech or healthcare. There will be a high demand all around the globe to optimize business processes using data science from banking and transport to manufacturing making it one of the most versatile fields. So, anyone who wants to be a data scientist will have a whole new world of opportunities open out there.

This course is made up of six semesters and thirty-two modules, for which the breakup is as follows. All the learners who complete this course will attain 180 ECTS which is equivalent to 360 UK credits.

Semester 1:

1. Introduction to Data Science
2. Introduction to Academic Work
3. Introduction to Programming with Python
4. Collaborative Work
5. Statistics-Probability and Descriptive Statistics
6. Mathematics: Linear Algebra

Semester 2:

1. Intercultural and Ethical Decision-Making
2. Statistics- Inferential Statistics
3. Object-Oriented and Functional Programming with Python
4. Database Modelling and Database Systems
5. Project: Build a Data Mart in SQL
6. Mathematics: Analysis

Semester 3:

1. Data Science Software Engineering
2. Project: From Model to Production
3. Business Intelligence
4. Project: Business Intelligence
5. Machine Learning- Supervised Learning
6. Machine Learning – Unsupervised Learning and Feature Engineering

Semester 4:

1. Agile Project Management
2. Big Data Technologies
3. Data Quality and Data Wrangling
4. Explorative Data Analysis and Visualization
5. Cloud Computing
6. Seminar: Ethical Considerations in Data Science

Semester 5:

1. Time Series Analysis
2. Neural Nets and Deep Learning
3. Electives A
4. Electives B

Semester 6:

1. Electives C
2. Introduction to Data Protection and IT Security
3. Model Engineering
4. Bachelor Thesis & Colloquium

Various career options for a specialist in Data Science:

• Data Analyst
• Data Architect
• Data Engineer
• Data Scientist
• Data Analytics Consultant
• Service Designer and Developer
• Software Developer/Consultant
• Website Developer
• App Developer
• Digital Business Consultant, and many more.

The Data Science industry has a plethora of career opportunities. It’s a broad sector and so requires professionals with various expertise to ensure everything functions properly.

About our Partner University

International University for Applied Sciences (IU), Germany + London South Bank University, UK (Dual Degree)

• #1 University in Europe: Join Europe’s largest private university (IU) and one of the UK’s oldest public universities (LSBU) established in the year 1892, in the heart of London, with more than 88,000 students from 130+ countries.
• Blended & Flexible: Offers outstanding, innovative digital learning materials and a great on-campus environment for success in your studies wherever you are.
• Fully Accredited Degree: All the degrees benefit from German state accreditation and are internationally recognized in major jurisdictions such as the EU, US, and the UK.
• Study at a 5-star rated University from QS: IU is the first German university that achieved a 5-star rating for Blended Learning from QS while LSBU has the reputation of University of the Year for ‘Graduate Employment’- The Sunday Times Good University Guide 2018 & 2019.

• International Focus, Practical Orientation: Major focus on practical training and an international outlook which gives IU graduates a decisive advantage: 94% of our graduates have a job within six months of graduation. Plus, the universities work closely with big companies such as Lufthansa, Sixt, and EY to give you great opportunities and insights.
• Dual Degree: Students can earn a German plus a British Degree without any additional studies and take a seamless transfer to the IU campuses in Germany for a dual country experience and the benefits of a Schengen region country (Dubai + Germany).