Applied Data Science and Analytics (2024)

Study Applied Data Science and Analytics in Hamburg now!

Master

  • Master of Science (M.Sc.)
  • 4 Semesters
  • Full time
  • on campus
  • 120 ECTS
  • €790/Month

As a data scientist, you hold a key position to deal with and extract knowledge from large and unstructured datasets. Get to know all about our Applied Data Science & Analytics Master's degree here.

  • English
  • summer and winter semester

Request informationApply now

Applied Data Science and Analytics (1)

Heidelberg, Fakultät fürInformation, Medien und Design

Your course content

What you will learn

In the Master’s programme Data Analytics, you will gain in-depth knowledge and an understanding of the complete data science process. You will learn how to apply mathematical,
statistical, analytical, and machine learning/deep learning techniques to gain insights from large andoften 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. You will also learn with us in a practice-oriented manner: you will work together with real customers in project-related modules. In addition, 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.

Your career prospects

Our innovative approach that pays off

Having a Master of Science degree in “Applied Data Science and Analytics” and qualification in all layers of data science will give you the best chance across all sectors, including the manufacturing industry, banks, insurance companies, the IT sector, consulting, public or industrial research institutes, the public health sector as well as colleges and universities. 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:

  1. Data Scientist
  2. Data Analyst
  3. Data Engineer
  4. Data Architect
  5. Business Intelligence Developer
  6. Machine Learning Engineer
  7. Deep Learning Expert
  8. Natural Language Processing Engineer
  9. Artificial Intelligence Expert
  10. ETL Developer
Applied Data Science and Analytics (2)

Data Visualization Competition

How to Participate:

  1. Theme:Create avisualization which highlights applied data science blending innovation, technology, and creativity. Your design can highlight the ADSA program or for an added challenge, demonstrate how data visualization can be both meaningful and beautiful.
  2. Who:Any SRH student or staff member can participate. Teams of up to 2 people are allowed.
  3. Submission:Send your designin .svgformat tosina.mehraeen@srh.debyMay 31st, 2024.
  4. Guidelines:Designs must be original and suitable for printing on a T-shirt / Hoodie.
  5. Include:Along with your design, provide a brief description explaining the inspiration behind your creation.

Prizes:

  • The winning design will be featured on our official department T-shirts/Hoodie.
  • The winning designer(s) will receive a special recognition award and a complimentary T-shirt featuring their design.
  • Recognition across department communication channels and social media platforms.

Deadline for Submissions:May 31st, 2024.

Good luck to all participants, and may the best design win!

Note: By submitting your design, you consent to its use for departmental purposes.

For any inquiries, reach out here!

Learning Outcomes

  • In-depth knowledge and understanding of applied data science.
  • Application of analytical techniques and machine learning/deep learning algorithms to solve complex dataproblems in business.
  • The skills you need to leverage data to reveal valuable insights and help customers make important decisions.
  • The ability to formulate solutions to technical problems and express them in discourse.
Academic Events SRH University Heidelberg International Week 2024: Future Skills for Global Citizens

For our 14th SRH International Week we are excited to welcome our partners, and their students, back on Campus Heidelberg. Save the date and join us from 7th – 11th October 2024!

Event

Conferences Water in transition: opportunities and challenges for the use of artificial intelligence

The "Water in Transition" symposium, led by Prof. Dr. Ulrike Gayh, will focus on the effects of extreme weather events on water quality. With innovative solutions using artificial intelligence.

Event

Curriculum Applied Data Science and Analytics (M.Sc.)

Your curriculum

4 Semester120 ECTS

1. Semester
  • First steps into Case Studies

    5
  • Data Analytics 1: Statistics and Machine Learning

    8
  • Data Visualization and Storytelling 1: Design Basics

    2
  • Big Data Programming 1: Python

    6
  • Data Engineering 1: Big Data Databases

    5
  • Data Management 1: Data Acquisition and Data Cleaning

    4
2. Semester
  • Data Analytics 2: Text Mining and Natural Language Processing

    7
  • Data Engineering 2: Big Data Architectures

    6
  • Data Visualization and Storytelling 1: Designing Interactive Dashboards

    5
  • Privacy, Ethics and International Law

    6
  • Case Study 1

    8
3. Semester
  • Data Management 2: Data Curation and Data Management

    4
  • Data Visualization and Storytelling 2: Advanced Data Visualization

    5
  • Data Analytics 3: Deep Learning

    8
  • Elective Module: Case Study 2 or Internship

    14
4. Semester
  • Master Thesis

    27

Courseplan Applied Data Science and Analyticspdf(19 MB)

new programmes

Applied Data Science and Analytics (4)
new programmes

Now also available in Hamburg!

The degree programme Applied Data Science and Analytics is now also available at our campus in Hamburg. This degree offers you the perfect opportunity to develop your talents in this growing field. Immerse yourself in the fascinating world of data analysis and take the opportunity to gain important insights and skills.

more about Campus Hamburg!

Applied Data Science and Analytics (5)
SRH Heidelberg emphasizes practical learning and industry relevance. I was impressed by the university's emphasis on hands-on projects, internships, and real-world applications. This approach will provide me with valuable experience and prepare me for the challenges of the advertising industry.
Applied Data Science and Analytics (6)
With the latest tools like Tableau, R Studio, Apache Spark, and Python, we were able to analyze, manage, and visualize data to create meaningful business insights. Coming from the field of training and business management, choosing this program was my best decision to start my career in the technical field.

Your lecturers

We help you achieve your goals

Sina Mehraeen Academic Staff
Dr.-Ing Kamellia Reshadi Academic Staff
Prof. Dr.-Ing. Binh Vu Professor
Study Programme Director Prof. Dr.-Ing. Swati Chandna Professor
Prof. Dr. Franz Hollich Professor
Prof. Dr. Gerd Moeckel Professor
Dr. Andreas Jäger Specialist lecturer

Admission requirements

Our 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.
  • English Proficiency Proof: The 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 (6.5), Duolingo (110), MOI (Medium of Instruction letter)
  • Knowledge of machine learning, natural language processing, data warehousing, statistics, data management, data mining is desired
  • Programming experience with Python, R is a plus

You do not qualify for direct entry? Join our preparatory course and get qualified to start your Master’s degree at SRH. This is a direct pathway into our university. Find more about here .https://www.srh-international-college.de/

Fees and Funding

Your tuition fees

790 EUR per month full-time + one-time registration fee of 750 EUR (Prices apply only to students from the European Economic Area).

Applicants from Non-EEA countries without permanent residence permit need to pay a tuition fee of 6,450 EUR per semester + one-time registration fee of 1,000 EUR 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.

For more information and payment modalities, please refer to the currentfee schedules(valid from 01.04.2023):

Fees schedule EEA students
Fees schedule non-EEA students

Apply now

Application process and deadlines

  • If you’re interested in our Master’s programme, simply send us your applicationonline.
  • If you encounter technical difficulties with the online application or have any questions about your application, Simin Chen will be happy to help you.
  • If you meet all the requirements, we’ll send you the acceptance letter and the study contract.
  • You then sign the study contract and return it to us (applies only to applicants from Germany and the EU).
  • You pay the registration fee (applicable to all students) and, in some cases, one semester’s advance payment (applies only to students from non-EU/EEA countries).
  • We then issue your final letter of acceptance.
  • You take part in our Welcome Days – and then embark on your degree programme!

projects

You might also be interested in this.

DATA LAB 17.01.2024
Cooperative Data Research Initiative 01.04.2023
AIExplora: Where Minds Converge , Ideas Emerge 01.02.2024
RABE – Recruitment Assisting Buddy Engine 13.10.2022
Intelligent Traffic Light System 13.10.2022
Anomaly Detection and Predictive Quality in the Plastic Film Production 13.10.2022
Big Data Fest 22.08.2022

APS Certificate

Please note that special conditions apply to applicants from some countries:

India

From 1st of November 2022, applicants from India will be required to have their documents verified by the Academic Evaluation Centre New Delhi (APS-India) before applying for a visa. After successful verification you will receive a certificate which allows you to initiate the visa process. Please note that the verification process at APS-India is expected to take approximately 4 weeks. We recommend that you apply for the APS certificate at the same time as you apply to SRH University Heidelberg. For more information, go to the APS-India website: www.aps-india.de

The People’s Republic of China

The procedure of the Academic Evaluation Centre of the Cultural Section at the German Embassy in Bejing (Akademische Prüfstelle – APS) must have been successfully completed before you apply. The centre checks documents for authenticity and conducts interviews. The original APS certificate must be enclosed with the application documents. For more information, go to the APS website at: www.aps.org.cn.

Please note that you don’t need to complete the APS procedure if you apply for our 3+1 programmes.

Vietnam

The Academic Evaluation Centre of the German Embassy in Hanoi has been checking the university entrance qualifications of Vietnamese applicants since 2007. The procedure includes checking the submitted written documents as well as an interview with the applicant. An original copy of proof of successful completion of this process, the APS certificate, must be enclosed with the application documents.

Applied Data Science and Analytics (21)

Your way into the future

Get started now

Impressions

Big Data Fest

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You might also be interested in

Our projects

AIExplora: Where Minds Converge , Ideas Emerge 01.02.2024
Anomaly Detection and Predictive Quality in the Plastic Film Production 13.10.2022
Intelligent Traffic Light System 13.10.2022
RABE – Recruitment Assisting Buddy Engine 13.10.2022
DATA LAB 17.01.2024
Cooperative Data Research Initiative 01.04.2023

Your contact

If you have any questions, our team is happy to help you

Study Programme Director Prof. Dr.-Ing. Swati Chandna Professor
Applied Data Science and Analytics (2024)

FAQs

What is applied data science and analytics? ›

Applied data science focuses on implementing and deploying data-driven solutions in a production environment. It also involves integrating data science models and insights into existing systems or workflows to drive decision-making and generate business value.

What does data science and analytics do? ›

While the terms may be used interchangeably, data analytics is a subset of data science. Data science is an umbrella term for all aspects of data processing—from the collection to modeling to insights. On the other hand, data analytics is mainly concerned with statistics, mathematics, and statistical analysis.

Is data science and analytics a good degree? ›

Data science is a growing field as more companies and organisations rely on data and analytics to make decisions, making it a good option for those interested in pursuing a career in data science.

Is applied data science degree worth it? ›

In demand

The demand for data scientists is extremely high, according to the US Bureau of Labor Statistics. Data scientist openings are expected to grow 36 percent between 2021 and 2031 [2].

Is applied data science hard? ›

There are many things that make it hard to get into data science and many more interesting things that makes it easy to get into data science. There are many concept in data science such as statistics, machine learning algorithms and deep learning algorithms that makes it hard to get into data science.

Is a degree in applied analytics worth it? ›

With an average salary of $82,360 and a US job market poised to grow by 23% over the next ten years, data analytics is an attractive career path, especially when compared with the average $58,260 salary and 5% job market growth for the US as a whole.

What is a data scientist's salary? ›

Data Scientist Salaries in India

The average salary for Data Scientist is ₹13,60,000 per year in the India. The average additional cash compensation for a Data Scientist in the India is ₹1,60,000, with a range from ₹80,000 - ₹3,00,000.

What is a data science analyst's salary? ›

The estimated total pay for a Data Science Analyst is ₹12,64,301 per year, with an average salary of ₹11,14,301 per year. This number represents the median, which is the midpoint of the ranges from our proprietary Total Pay Estimate model and based on salaries collected from our users.

Which pays more, data science or data analytics? ›

Data scientists earn more than data analysts due to the higher level of technical expertise required and the more complex nature of their work. The difference can vary significantly depending on the industry, location, and individual experience levels.

Is data science a high paying major? ›

Data scientist earn a higher-than-average salary. According to the U.S. Bureau of Labor Statistics (BLS), the median salary for data scientists was $103,500 per year as of 2022 [2]. That's more than double the median annual wage for all workers, which the BLS pinned at $46,310 during the same period.

Is data analytics a hard degree? ›

Is it hard to learn data analytics? No, it's a learned skill set that just about anyone can master with dedication and time. Many programs – from bachelor's degree to certificate-level learning – are designed to help you build core skills and apply your knowledge to practical experiences.

Is data science a hard major? ›

Data science is a difficult field. There are many reasons for this, but the most important one is that it requires a broad set of skills and knowledge. The core elements of data science are math, statistics, and computer science. The math side includes linear algebra, probability theory, and statistics theory.

Do I need a master's to be a data scientist? ›

It's worth noting that most data scientists have at least a master's degree, but it is not necessarily required.

Is applied data science same as data science? ›

On the other hand, applied data science has a wide scope of data science. However, there is a bit of difference between Data Science and Applied Data Science. Data science is a subpart of applied data science to some while for others, both terms are interchangeable.

Is data science really in demand? ›

The data scientist job market in 2024 offers substantial opportunities with a clear trajectory for growth and advancement. Despite broader economic challenges, demand remains high, particularly for specialists leveraging machine learning and AI technologies.

Is Applied Science same as data science? ›

In conclusion, the roles of an Applied Scientist and a Data Scientist are distinct, with different responsibilities, required skills, educational backgrounds, tools and software used, common industries, outlooks, and practical tips for getting started.

What is the role of an applied data scientist? ›

You will design, implement, analyze, tune complex algorithms and ML systems and the supporting infrastructure for operating on large datasets. You will collaborate with top machine learning scientists and engineers in delivering direct business impact.

What are the benefits of studying applied data science? ›

You'll build the skills and knowledge necessary to become a three-dimensional data scientist: one who can combine quantitative and computational data skills with effective communications and ethical practices. Learn how to: Use powerful tools to analyze data. Unpack the stories big data can tell.

What is the difference between applied data science and AI? ›

Applied data science takes the models and methods used in data analysis and applies these to new data in real-world situations to give probabilistic outputs. In contrast, AI uses applied data science techniques and other algorithms to compose and run complex machine-based systems that approximate human intelligence.

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