Executive MSc Aviation Data Analytics Management
Program Overview
The Executive MSc in Aviation Data Analytics Management equips professionals with expertise in aviation data collection, processing, interpretation, and visualization for strategic decision-making in the aviation industry. Delivered online over 18 months, this program combines academic theory with industry knowledge and provides networking opportunities with peers. Graduates are prepared for executive roles in airlines, airports, aviation manufacturing, and other data-driven industries.
Program Outline
Degree Overview:
The Executive MSc in Aviation Data Analytics Management is a postgraduate program designed for professionals seeking to advance their careers in the aviation industry by mastering the strategic use of data. Delivered online across 18 months, the program aims to address the rising demand for skilled professionals with expertise in aviation data collection, processing, interpretation, and visualization. This Executive Masters program bridges the gap between analysis and decision implementation, equipping students to navigate the aviation data ecosystem and utilize data analysis for strategic decision-making in both commercial and operational aviation domains.
Key Benefits:
- Part-time study, accommodating work schedules
- Online delivery for flexibility and convenience
- Expert teaching delivered in collaboration with aviation data companies
- Networking and collaboration opportunities with peers
Outline:
Year 1:
Compulsory Modules:
- Data Analytics Research and Study Skills: Introduces essential academic study and research skills, covering critical review, analysis, evaluation of information sources, academic writing, critical analysis, referencing, and citations.
- Foundations of Aviation Data Science: Provides an in-depth understanding of fundamental data science concepts focusing on aviation-specific datasets. Covers IT concepts like database management, data acquisition, normalization, advanced data processing techniques, and aviation-relevant dataset understanding.
- Operations Research and Statistical Methods for Aviation: Introduces the fundamentals of Operations Research techniques and statistical methods crucial for aviation data analysis. Focuses on optimization techniques and statistical analysis like regression, hypothesis testing, and time-series analysis, used for deriving insights and supporting business decision-making in aviation.
- Programming Skills for Data Analytics Professionals: Equips students with foundational programming skills essential for aviation data analysis. Introduces languages commonly used in data analytics (Python, R, VBA), and teaches essential Python programming elements with practical aviation data case studies.
- Aviation Data Analytics Applications and Case Studies: Offers an in-depth analysis of specific applications of data analytics in aviation through real-world case studies and practical exercises. Examines how airlines and airports leverage large datasets and advanced techniques for business decisions in areas like pricing and revenue management, network and fleet planning, customer segmentation, crew scheduling, and flight planning.
Year 2:
Compulsory Modules:
- Ethical and Legal Aspects of Aviation Data Analysis: Explores the ethical considerations and legal frameworks surrounding aviation data analytics. Covers ethical implications of data collection, handling, and utilization in aviation, addressing privacy concerns, data security, transparency, responsible data use, and alignment with Sustainable Development Goals (SDGs).
- Aviation Applied Research Project (only for students on the regular pathway): Provides an opportunity to conduct an aviation-focused research project. Projects can be academic and/or industry-related. Students demonstrate skills in literature review, research methodology development, data analysis, and project management.
Teaching:
Teaching Methods:
- The course is delivered online over 18 months.
- Teaching is delivered through live broadcasts and recorded sessions.
- Access to online learning resources like e-books, e-journals, and aviation industry databases.
Faculty:
- The course leader is Francesco Ragni.
- Other teaching staff include James Goodman, George Arbuckle, Richard Dale, and Kanchana Gamage.
Unique Approaches:
- The program is designed in collaboration with strategic industry partners, ensuring a dynamic learning experience with real-world data and industry challenges.
- Focuses on bridging the gap between data processing analysis and effective decision implementation.
- Provides a balanced combination of academic theory and industry knowledge informed by direct experience and current events.
Careers:
This Aviation Data Analytics Management course supports career progression for executive roles in various fields, including:
- Airlines
- Airports
- Aviation manufacturing
- Regulatory agencies
- Tech companies
- Consultancies
- Research Opportunities for graduates also extend to other data-driven industries.
Other:
- Course subject to approval.
- Modules are subject to approval and content could change.
Important Notes:
- The University reserves the right to change course content and delivery methods as needed.
- If a placement opportunity does not arise, students will be automatically transferred to the non-internship route to ensure degree completion.
The fees stated above are for the entire 180 credit Executive MSc course. If your course runs for two years or more, you will need to pay the fee for each academic year at the start of that year. If your course runs for less than two years, the cost above is for your full course and you will need to pay the full fee upfront. Government regulation does affect your fees, so what you pay may go up in future.
UK
£9,275
- International £13,600
