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MSc Data Management

The MSc in Data Management is a 12-month postgraduate programme designed to equip learners with advanced skills in managing, analysing, and leveraging data for strategic decision-making. This comprehensive program covers core areas including Data Analysis, Big Data Technologies, Machine Learning, Data Governance, and Data-Driven Business Models. Through hands-on projects, case studies, and a master’s thesis, students gain practical experience in transforming complex datasets into actionable insights.

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  • Duration

12 Months

  • Modules

12 Modules

  • Credits

60 ECTS

  • Format

Blended Learning

  • Projects

2 Projects

  • Assessment

Exams & Vivas

Globally Recognized & Accredited:

1

Ai & Data School

60

Credits for Masters Program

95

Career Transition Rate

100

Online Flexibility

  • Industry-Standard Technology Stack

Tools & Technologies That Power Success

Gain hands-on experience with the core tools and platforms that power modern data engineering. The MSc in Data Engineering equips students to build scalable data pipelines, deploy cloud-based solutions, and manage distributed data systems, preparing them to tackle complex real-world challenges.

  • Production-Ready Skills
  • Industry-Relevant Tools
  • Hands-On Learning

Python

MySQL

Gephi

Map Reduce

Apache Flink

Apache Spark

learn r project from airtics.org

R Project

No SQL

Scala

Join Airtics Education
  • Industry-Standard Technology Stack

Tools & Technologies That Power Success

Gain hands-on experience with the core tools and platforms that power modern data management. The MSc in Data Management equips you with practical skills in big data processing and prepares you to tackle real-world data challenges, transforming complex datasets into actionable insights and strategic solutions.

  • Production-Ready Skills
  • Industry-Relevant Tools
  • Hands-On Learning

Python

MySQL

Apache Flink

Apache Spark

Gephi

Tableau

learn r project from airtics.org

R Project

No SQL Database

Join Airtics Education

Learn from France’s #1 Data Science School

Aivancity, currently ranked #1 in France for Artificial Intelligence and Data Science by Eduniversal 2025, has partnered with Airtics Education to deliver globally recognised programs. Combining Aivancity’s excellence in technology, business, and ethics with Airtics’ practical, industry-focused approach, the program covers data analysis, big data technologies, machine learning, data governance, and strategic use of data. Through hands-on projects, case studies, and a master’s thesis, students gain the skills and insight needed to handle complex datasets, design impactful data-driven solutions, and excel as strategic, ethical leaders in their careers.

Eligibility

Eligibility

This program is ideal for graduates, working professionals, or anyone aspiring to build a career in Data Science or Data Management. Applicants should have completed a 3 or 4-year bachelor’s degree in computer science, a related field, or have substantial experience in database management or object-oriented programming. A strong understanding or experience in statistics, a business-oriented mindset (including professional projects or internships), and interest in technology ethics or regulation are recommended. Candidates should be able to present an academic or professional project in any of these fields.​

Prerequisites

Applicants should possess a foundational understanding of mathematics, logical reasoning, and statistics. Familiarity with programming languages (such as Python, R, or SQL), as well as experience or education in database management or data analysis, will be helpful. Previous knowledge or experience in business, statistics, and technological ethics is preferred but not mandatory for admission.​

Unit 1
Data Analysis
Unit 2
Machine Learning
Unit 3
Ethics and Society
Unit 4
Business and Economics
Unit 5
Master Thesis
Data Analysis and Transformation

Build expertise in data cleaning, outlier treatment, sampling, and transforming raw data for actionable insights.

Casual Interface

Learn experimental and observational causal inference, assessing correlations versus causations in complex data.

Web Data and API

Master web scraping, API integration, and NLP techniques for unstructured online data.

Learning Outcomes
Module Summary Duration: 4-6 weeks

By completing this module, you will:

  • Apply comprehensive data preprocessing and transformation approaches.

  • Distinguish and analyze causal relationships using advanced methods.

  • Gather, process, and analyze web-based and text data in a legal and ethical manner.​

 

Mathematics for Machine Learning

Study linear algebra, calculus, probability, statistics, and predictive modeling needed for data analysis.

Machine Learning and Metrics

Understand supervised, unsupervised, and reinforcement learning, with a focus on validation and performance metrics.

Machine Learning Project Sprint

Complete a hands-on sprint: formulate business problems, collect data, train models, evaluate and deploy the best solutions.

Learning Outcomes
Module Summary Duration: 4-6 weeks

By completing machine learning unit, you will:

  • Demonstrate competence in mathematical/statistical principles of modeling.
  • Build and evaluate predictive models using robust validation and metrics.
  • Deliver full-cycle ML solutions to real-world challenges.
Strategic Thinking for Data and AI

Examine data value creation, governance frameworks, and ethical considerations in organizations and geopolitics.

Data Security

Protect critical organizational information using security, confidentiality, and governance principles.

Learning Outcomes
Module Summary Duration: 4-6 weeks

By completing ethics and society, you will:

  • Critique governance models and business challenges for data/AI.

  • Analyze and apply security best practices for organizational data.​
Data Driven Business Models

Explore value creation, monetization, personalization, AI optimization, and network effects in modern business.

Financial Data Analysis

Analyze time series, model risk and return, and evaluate financial KPIs for strategic decision-making.

Social Data and Social Listening

Apply sentiment analysis, opinion mining, and social network analysis for online reputation and strategy.

Learning Outcomes
Module Summary Duration: 4-6 weeks

By completing business and economics unit, you will:

  • Review and design innovative, data-centric business models.

  • Analyze financial/social data for business strategy and value.​
Independent Research Project

Identify a problem, conduct a critical literature review, select methods, analyze data, and produce a professional thesis.

Learning Outcomes
Module Summary Duration: 4-6 weeks

By completing research project, you will:

  • Review and formulate clear research questions.

  • Apply advanced frameworks and methods for a critical, meaningful thesis.

  • Analyze results and present conclusions with implications for future work.​

Your Success Story Starts Here

Every image here tells a story of transformation, dedication, and success. Be the next to wear the cap and gown. Enroll today, and let your journey begin.

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What Our Students Say

Every student has a story—of ambition, of challenge, of growth. In their own words, they share how Airtics became a turning point in their learning journey and helped them move closer to their goals.

Pemsith Ravi

Thanks to the support of this prestigious institution – airtics. I was able to earn a master’s degree in data science. I had a fantastic educational experience there, and they possess a highly competent and knowledgeable lecturing panel. Anyone looking to make it major in the data science field should enrol in their course.
  • Verified Review

Zeeshan Ali

Airtics offers a truly transformative learning experience. The course content is up-to-date, the mentors are incredibly supportive, and the flexibility of the online platform made it easy to balance with my work. Highly recommended for anyone looking to upskill!

  • Verified Review

Aalaa Shbair

The experience at Airtics College has been tremendous for me. It has illuminated my path and opened the way for me to become a developer of solutions in my workplace. I cherish every moment of this online learning experience and the supportive community of instructors and peers.

  • Verified Review

Muhammad Fatouh

Airtics offered a great platform that allowed me to take a meaningful step forward in data science while balancing my demanding job as a telecom engineer. If you have a busy schedule and struggle with work-life balance, I encourage you to find a flexible platform like Airtics to pursue your goals.

  • Verified Review

Al Tayyab Bakhsh

Coming from a non-technical background in marketing, switching to data science was challenging. The faculty at Airtics was incredibly helpful, especially my mentor Miss Piyali, who guided me with patience every step of the way. Their mentorship gave me the confidence to succeed.

  • Verified Review

Dilnawaz Qureshi

Airtics provides an impressive curriculum for Python Full Stack development that is both well-structured and up-to-date. This comprehensive approach ensures we acquire a thorough understanding of the field and are well-prepared for real-world challenges.

  • Verified Review

Charuhaas Shenoy

Airtics offers a truly transformative learning experience. The course content is up-to-date, the mentors are incredibly supportive, and the flexibility of the online platform made it easy to balance with my work. Highly recommended for anyone looking to upskill!
  • Verified Review

Madonna Ghanem

The resources provided by Airtics for AI and ML students are top-notch. The institute has a well-equipped virtual lab with the latest software, allowing us to experiment with complex algorithms. The online library offers a wide range of reference materials and research papers.

  • Verified Review

Dhruv Narse

Airtics provides a conducive learning environment for data analytics students. They have experienced faculty, and provide access to the latest software and tools used in the industry. This ensures that we are well-prepared for our future careers in the field.

  • Verified Review

What Our Students Say

Every student has a story—of ambition, of challenge, of growth. In their own words, they share how Airtics became a turning point in their learning journey and helped them move closer to their goals.

Pemsith Ravi

Thanks to the support of this prestigious institution – airtics. I was able to earn a master’s degree in data science. I had a fantastic educational experience there, and they possess a highly competent and knowledgeable lecturing panel. Anyone looking to make it major in the data science field should enrol in their course.
  • Verified Review

Zeeshan Ali

Airtics offers a truly transformative learning experience. The course content is up-to-date, the mentors are incredibly supportive, and the flexibility of the online platform made it easy to balance with my work. Highly recommended for anyone looking to upskill!

  • Verified Review

Aalaa Shbair

The experience at Airtics College has been tremendous for me. It has illuminated my path and opened the way for me to become a developer of solutions in my workplace. I cherish every moment of this online learning experience and the supportive community of instructors and peers.

  • Verified Review

Muhammad Fatouh

Airtics offered a great platform that allowed me to take a meaningful step forward in data science while balancing my demanding job as a telecom engineer. If you have a busy schedule and struggle with work-life balance, I encourage you to find a flexible platform like Airtics to pursue your goals.

  • Verified Review

Al Tayyab Bakhsh

Coming from a non-technical background in marketing, switching to data science was challenging. The faculty at Airtics was incredibly helpful, especially my mentor Miss Piyali, who guided me with patience every step of the way. Their mentorship gave me the confidence to succeed.

  • Verified Review

Dilnawaz Qureshi

Airtics provides an impressive curriculum for Python Full Stack development that is both well-structured and up-to-date. This comprehensive approach ensures we acquire a thorough understanding of the field and are well-prepared for real-world challenges.

  • Verified Review

Charuhaas Shenoy

Airtics offers a truly transformative learning experience. The course content is up-to-date, the mentors are incredibly supportive, and the flexibility of the online platform made it easy to balance with my work. Highly recommended for anyone looking to upskill!
  • Verified Review

Madonna Ghanem

The resources provided by Airtics for AI and ML students are top-notch. The institute has a well-equipped virtual lab with the latest software, allowing us to experiment with complex algorithms. The online library offers a wide range of reference materials and research papers.
  • Verified Review

Dhruv Narse

Airtics provides a conducive learning environment for data analytics students. They have experienced faculty, and provide access to the latest software and tools used in the industry. This ensures that we are well-prepared for our future careers in the field.

  • Verified Review

Learn from Industry Leaders & Experts

Learn from the best in the field. Our faculty combines academic brilliance with industry expertise, featuring PhD holders, senior data scientists, and AI researchers from top organizations.

Ms. PIYALI MONDAL - B&W
Ms. Piyali Mondal Head of Department
Ms. Priti Mondal - B&W
Ms. Priti Mondal Associate Faculty
Dr. Abdullah El Nokiti - B&W
Dr. Abdullah El-Nokiti Professor
Dr. Meraj Inamdar - B&W
Dr. Mohd Merajuddin Inamdar Professor
Dr. Madhavi Vaidya - B&W
Dr. Madhavi Vaidya Professor
Dr. Poonam Chaudhari - B&W
Dr. Poonam Chaudhari Professor
Dr. Anup Maurya - B&W
Dr. Anup Kumar Maurya Professor
Dr. Milan Joshi - B&W
Dr. Milan Amrutkumar Joshi Industry Expert
Dr. Mohamed Elhaw - B&W
Dr. Mohamed Elhaw Industry Expert
Dr. Pradeep Tiwari - B&W
Dr. Pradeep Tiwari Industry Expert
Global Student Community

Students from 60+ Countries Worldwide

Frequently Asked Questions

Find answers to common questions about our MSc Data Management course. Learn about program details, requirements, and what to expect from this 1 year masters program.

Why should I join the MSc Data Management program?

The program equips you with in-demand skills in data analytics, machine learning, and data-driven strategy. It combines theory and hands-on practice to prepare you for leadership roles in industries that rely on innovative data solutions.​

What if I miss a class or session?

With flexible online and blended modules, missed content can be accessed through recorded sessions and resources. The program is designed to support working professionals and international learners.​

How is Data Management different from Data Science or Big Data Analytics?

Data Management focuses on organizing, integrating, and governing data, ensuring business value and quality. It includes elements from data science, analytics, and big data but emphasizes processes and strategic use.​

What can I expect from this program?

You will gain practical expertise with modern technologies (Python, R, SQL, Spark), work on real-world projects, and complete a master’s thesis. The course covers analytics, big data, AI applications, and governance.​

Who can apply for the MSc Data Management?

Graduates, industry professionals, and aspiring data managers from technical, business, or science backgrounds are welcome. A bachelor’s degree in a related field is required.​

Do I need coding experience to enroll?

While prior experience in programming can be helpful, it is not required. The course offers foundational training and supports learners from diverse academic backgrounds.​

Still have questions?

If you’d like more details about the Msc Data Management program—its curriculum, eligibility, or learning format—our team is ready to assist. Reach out to explore how this globally recognized program can help you advance your career in Data Management.

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