Applied Data Science and Analytics (M.Sc.) draft
| Program start date | Application deadline |
| 2025-04-01 | - |
Program Overview
The Master's in Applied Data Science and Analytics equips students with comprehensive knowledge in data science, including mathematical, statistical, and machine learning techniques. Through project-based learning and a mandatory internship, students gain practical experience and prepare for careers in data science, analytics, and related fields. Graduates have secured positions in leading companies and organizations, demonstrating the program's strong industry relevance.
Program Outline
Outline:
- The Master's programme in Applied Data Science and Analytics is designed to provide students with in-depth knowledge and understanding of the complete data science process.
- Students will learn how to apply mathematical, statistical, analytical, and machine learning/deep learning techniques to gain insights from large and often unstructured datasets.
- The data visualization and storytelling part of this programme will enable leveraging the data to reveal valuable insights to the stakeholders for decision making.
- Students will also learn with us in a practice-oriented manner: you will work together with real customers in project-related modules.
- Additionally, you will complete a three-month mandatory internship at a company of your choice, and additionally you can write your master thesis in cooperation with a company. This gives you almost a year of professional experience during your studies.
Careers:
- Graduates from previous years now work for ABB, Heidelberg Cement, Airbus, Accenture, Adidas, Audi, Bosch, BMW, BASF, Deloitte, Deutsche Börse, DKFZ, PWC, SAP, and Verivox, as well as for successful SMEs.
- Our programme will also qualify you for a position in the public sector, work in research, and Ph.D. programmes.
- Possible fields of Work:
- Data Scientist
- Data Analyst
- Data Engineer
- Data Architect
- Business Intelligence Developer
- Machine Learning Engineer
- Deep Learning Expert
- Natural Language Processing Engineer
- Artificial Intelligence Expert
- ETL Developer
790 EUR per month full-time. Applicants from Non-EEA countries without permanent residence permit need to pay a tuition fee of 6,450 EUR per semester and must pay the tuition fees for one semester in advance. From the second semester onwards the payments for the remaining semesters of study are due six weeks before the end of the period of study already paid for. The payments have to be done semesterwise.
SRH Universities Germany
Overview:
SRH Universities Germany is a network of private universities offering a wide range of undergraduate and postgraduate programs across various disciplines. They are known for their practical approach to education, emphasizing hands-on learning and close collaboration with industry partners.
Services Offered:
SRH Universities offer a comprehensive range of services to support students throughout their academic journey, including:
Study Advisors:
Providing guidance on program selection, application procedures, and financing options.Accommodation:
Assisting students in finding suitable housing options near their chosen campus.University Sports:
Offering various sports activities and programs for students to participate in.Career Services:
Providing resources and support for career planning, job searching, and professional development.International Programs:
Facilitating international exchange opportunities and study abroad programs.Alumni Network:
Connecting graduates with each other and providing networking opportunities.Student Life and Campus Experience:
SRH Universities prioritize a vibrant and engaging campus experience for their students. They offer:
Modern Campuses:
Featuring state-of-the-art facilities and learning environments.Small Class Sizes:
Allowing for personalized attention from instructors and fostering a close-knit learning community.Active Student Life:
Encouraging participation in clubs, societies, and events to enhance the overall student experience.International Environment:
Providing a diverse and multicultural learning environment with students and faculty from around the world.Key Reasons to Study There:
Practical Learning:
Emphasizing hands-on learning and real-world application of knowledge through internships, projects, and industry collaborations.Personalized Support:
Offering individual guidance and mentorship from instructors and dedicated support staff.Industry Connections:
Providing strong connections with industry partners, leading to potential career opportunities.International Exposure:
Fostering a global perspective through international exchange programs and diverse student body.Modern Campuses:
Providing access to state-of-the-art facilities and learning environments.Academic Programs:
SRH Universities offer a wide range of academic programs, including:
Bachelor's Degrees:
In various fields such as business, technology, design, communication, and music.Master's Degrees:
In specialized areas within their respective fields, preparing graduates for advanced careers.MBA and DBA Programs:
Providing executive education and leadership development opportunities.Dual Studies Programs:
Combining academic learning with practical work experience through apprenticeships.Other:
SRH Universities are committed to quality education and research, evidenced by their accreditations and memberships in prestigious organizations such as AACSB, Systemakkreditierung, and Wissenschaftsrat. They also actively engage with the local community through partnerships and initiatives.
Entry Requirements:
First degree (i.e. first degree qualifying for a profession) in Computer Science, Data Science, Information Technology, Artificial Intelligence, Data Analysis, Mathematics, Business Informatics awarded with 180 CPs.
Language Proficiency Requirements:
Students need to be capable of following an English-language course and understanding English-language professional literature. The proficiency of the English language has to be proven through a passed TOEFL test of at least 80 points, IELTS/ IELTS ONLINE (6.5), Duolingo (120), MOI (Medium of Instruction letter)
