Course Overview

The SRH Universities Applied Data Science and Artificial Intelligence Masters Degree is designed for ambitious individuals eager to master the end-to-end data science process and drive innovation in AI. You will delve into advanced mathematical, statistical, analytical, and machine learning techniques to extract profound insights from complex and unstructured datasets. This program equips you with the technical expertise, analytical prowess, and business acumen essential for leading advancements in artificial intelligence, data science, and big data analytics, preparing you for the forefront of technological development.

You will study this postgraduate qualification full-time on campus over two years, engaging with a curriculum that spans data analytics, machine learning, deep learning, natural language processing, and big data architectures. The syllabus includes practical elements like data engineering, data management, and data visualisation, with opportunities for electives or internships and a significant Master's thesis in your final semester. You will graduate with the advanced skills and knowledge to pursue impactful careers in data science, AI research, and data-driven business strategy.

Course Curriculum & Details

Detailed information for serious evaluators

Program Overview

This program provides a comprehensive foundation in data science and artificial intelligence, progressing from introductory case studies and foundational statistical and machine learning techniques to advanced topics. Students will develop skills in big data programming, data engineering, and data management, alongside data visualization and storytelling. The curriculum also addresses crucial aspects of privacy, ethics, and international law, culminating in a master's thesis or an internship opportunity.

1 1. Semester

First steps into case studies

Data analytics 1: statistics and machine learning

Data visualisation and storytelling 1: design basics

Big data programming 1: python

Data engineering 1: big data databases

Data management 1: data acquisition and data cleaning

2 2.Semester

Data analytics 2: text mining and natural language processing

Data engineering 2: big data architectures

Data visualisation and storytelling 1: designing interactive dashboards

Privacy, ethics and international law

Case study 1

3 3. Semester

Data management 2: data curation and data management

Data visualisation and storytelling 2: advanced data visualization

Data analytics 3: deep learning

Elective Module: case study 2 or internship

4 4.Semester

Master thesis

Cost & Affordability

A clear picture of what this course will cost you

Program Costs

First Year Fee Tuition fee

USD 15,086.00

Second Year Fee Tuition fee

USD 15,086.00

Total Program Cost Estimated total tuition

USD 30,173.00

Currency note: Program costs shown in USD based on the available tuition breakdown.

Living Costs

Accommodation

USD 2,130.00 - USD 2,662.00

Food & Groceries USD 2,526.00 - USD 3,789.00

Transport USD 688.00 - USD 1,123.00

Utilities & Bills USD 1,404.00 - USD 2,526.00

Estimated Total USD 4,618.00 - USD 7,438.00

Living cost estimates are based on SRH Heidelberg Campus.

Outcomes & Employability

What happens after you graduate

97%

Graduate Employment Rate Within 6 to 12 months of graduation

Common Graduate Roles

Automation & RoboticsBlockchain & Emerging TechnologiesCybersecurityEconomic Research & PolicyEnergy Storage & TechnologyHydropower & Alternative RenewablesIndustry 4.0 & Digital ManufacturingInvestment Management & Asset ManagementPrivate Equity & Venture CapitalSoftware Development & Engineering

Top Employers Hiring for this course

Bosch

Frequently Asked Questions

Common questions about Applied Data Science and Artificial Intelligence at SRH University

Can I work while studying?

International students can work up to 20 hours per week or a total of 140 full days or 280 half days per year in Germany. No separate work permit is needed.

What English language score do I need for this course?

Prospective students must meet specific English proficiency requirements. Acceptable tests include Duolingo, TOEFL, IELTS, and PTE, each with designated minimum scores.

What jobs can I get after studying this course?

Graduates can pursue careers as Data Scientists, AI Specialists, Data Analysts, Machine Learning Engineers, or Data Engineers.

What will I actually study in this course?

In the Master's programme in Applied Data Science and Artificial Intelligence, you will acquire in-depth knowledge and an understanding of the entire data science process. You will learn how to apply mathematical, statistical, analytical and machine learning/deep learning techniques to gain insights from large and often unstructured data sets. You will also acquire technical expertise, analytical skills, and business acumen needed to drive innovation in AI, data science, and big data

When can I start — what are the intake months?

The Master's programme in Applied Data Science and Artificial Intelligence has two intake months: April and October. Make sure to apply in advance to secure your spot.

Applied Data Science and Artificial Intelligence