Master of Science in Data Science
Embry-Riddle Aeronautical University
Key Information
Campus location
Daytona Beach, USA
Languages
English
Study format
On-Campus
Duration
2 years
Pace
Full time, Part time
Tuition fees
USD 1,563 / per credit
Application deadline
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Earliest start date
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Scholarships
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Introduction
In the era of the big data revolution, deriving insights from available data to support or optimize decisions is becoming a necessity in businesses, industries, and governments. Embry-Riddle’s Master of Science in Data Science (MSDS) is designed to provide students with the practical skills they need to lead the industry into the future. Whether you seek to enhance your marketability in the fields of safety, cybersecurity, business, homeland security, or a broader area, the MSDS will prepare you to transform ubiquitous data into reliable, actionable decisions applying a combination of data understanding, analytical skills, and domain knowledge.
Embry-Riddle graduates are in demand in aviation & aerospace, as well as in business, cybersecurity, homeland security, safety, and more. Interdisciplinary coursework, world-renowned faculty, and state-of-the-art labs prepare students to work collaboratively and to employ the most powerful computational and analytic tools to meet the complex challenges of today. Five distinct tracks allow students to choose their specialization and build on current knowledge. Internships provide the opportunity to earn real-world experience outside the classroom, and a collaborative capstone project provides access to real-world data sets and equips students to communicate findings effectively with data visualization.
About Data Science at the Daytona Beach, FL Campus
The Master of Science in Data Science degree program is designed to prepare students to use the latest computational and analytic tools to solve data-intensive problems that arise in business, industry, or government. The goal is to provide the students with the knowledge and skills of data collection, pre-processing, analysis, visualization, and the ethical implication associated with large heterogeneous data arising within the various domain areas.
All the core courses within the degree program are project-based allowing for hands-on experience culminating in a final capstone project or an internship in the student’s chosen domain area. The program offers the flexibility for the students to choose one of the five tracks (Aviation Safety, Aviation Business, High-Performance Computing, and Big Data, Cybersecurity and Homeland Security) to specialize in depending, on their interest.
Requirements and Courses
The Master of Science in Data Science degree program is designed to prepare students to use the latest computational and analytic tools to solve data-intensive problems that arise in business, industry, or government. The goal is to provide the students with the knowledge and skills of data collection, pre-processing, analysis, visualization, and the ethical implication associated with large heterogeneous data arising within the various domain areas.
All the core courses within the degree program are project-based allowing for hands-on experience culminating in a final capstone project or an internship in the student’s chosen domain area. The program offers the flexibility for the students to choose one of the five tracks (Aerospace Engineering, Aviation Safety, Aviation Business, Cybersecurity, High-Performance Computing, and Big Data, and Homeland Security) to specialize in, depending on their interest. The students have to choose the track by the start of the second semester into the program.
Degree Requirements
The curriculum consists of 15 credits of required coursework, with an additional 3 credits of track-specific required course and 12 credits of electives and/or thesis research.
The core courses provide the foundation of the Data Science principles and require an undergraduate degree in a technical field (a degree with at least four semesters of college-level Math) for preparation. Students with a non-technical undergraduate degree will be required to complete additional modules
Program Core
- CS 540 Database and Data Retrieval
- MA 506 Probability and Statistical Inference
- MA 540 Data Mining
- MA 544 Data Visualization
- MA 615 Data-Driven Modeling
Aerospace Engineering Track
Required Courses
- AE 514 Introduction to the Finite Element Method
- AE 516 Computational Aeronautical Fluid Dynamics
- AE 523 Modeling and Simulation of Linear Dynamic Systems
Select one of the following
- AE 5XX Aerospace Engineering Elective
- EP 501 Numerical Methods for Engineers and Scientists
- MA 532 Numerical Linear Algebra for Engineers
Aviation Business Track
Required Course
- BA 612 Data Analytics for Aviation Business
Electives - Select 9 hrs from the following:
- ACC 517 Accounting for Decision Making
- BA 511 Operations Research
- BA 523 Advanced Aviation Economics
- BA 610 Airline Optimization and Simulation Systems
- BA 645 Airport Operations and Management
- FIN 518
Aviation Safety Track
Required Course
- MSA 628 Data Analytics for Aviation Safety
Electives - Select 9 hrs from the following:
- MSA 516 Applications in Crew Resource Management
- MSA 545 Human Factors in the Aviation/Aerospace Industry
- MSA 611 Aviation/Aerospace System Safety
- MSA 621 Aviation/Aerospace Safety Program Management
Cybersecurity Track
Required Course
- CS 602 Big Data Analytics for Cybersecurity
Electives - Select 9 hrs from the following:
- CS 525 Current Topics in Cybersecurity
- CS 527 System Exploitation and Penetration Testing
- CS 528 Multi-Agent Systems
- CS 529 Computer Security
- CS 532 Software Security Assessment
- CS 538 Applied Cryptography
Homeland Security Track
Required Course
- HS 602 Data Analytics for Counterterrorism or
- HS 604 Data Analytics for GIS
Electives - Select 9 hrs from the following:
- MHSR 501 The Internet, Security, and Governance
- MHSR 510 Introduction to Human Security
- MHSR 520 Principles of International Conflict Resolution
- MHSR 530 Environmental Security
- MHSR 540 Foundations of Resilience
- MSHR 615
Capstone Project or Thesis
- MA 680 Data Science Capstone Project
- Track-specific elective (Thesis)
High-Performance Computing & Big Data Track
Required Course
- MA 553 High-Performance Scientific Computing
Electives- Select 9 hrs from the following:
- MA 510 Fundamentals of Optimization
- MA 605 Statistical Quality Analysis
- MA 625 Computing for Data Compression, Image and Signal Processing
- MA 630 Complex Networks and Applications
English Language Requirements
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