Computing - Data Science - Sligo
Data Science is a multi-disciplinary field that attempts to extract knowledge from structured and unstructured data. It combines techniques from mathematics, statistics, information theory, computer science and artificial intelligence with applications in a wide variety of fields.
| Award Name | Degree - Masters (Level 9 NFQ) |
|---|---|
| NFQ Classification | Major |
| Awarding Body | Atlantic Technological University |
| NFQ Level | Level 9 NFQ |
| Award Name | NFQ Classification | Awarding Body | NFQ Level |
|---|---|---|---|
| Degree - Masters (Level 9 NFQ) | Major | Atlantic Technological University | Level 9 NFQ |
Duration
2.5 years part-time, online.
On-Campus Attendance
No attendance required
Entry Requirements
Applicants should a Level 8 Honours Degree 2:2 or above. While it expected that most applicants will have an honours degree in Computer Science or related discipline, due to the multidisciplinary nature of Data Science an Honours Degree in Engineering, Business and Science will be sufficient. However, some programming knowledge (Ideally Python or C/C++ or R) and mathematics knowledge are prerequisites to the course.
Careers / Further progression
Career Opportunities
Data Scientists will implement and assess the models for increasingly complex and technical roles currently required by industry. Skills such as Artificial Intelligence and Data Science are highly sought after in manufacturing, insurance, retail, health & education sectors to harness opportunities associated with researching and making decisions based on data. A qualification in Data Science skills can lead to an exciting career in an array of industries including IT, financial services, retail, and manufacturing. These roles are not confined to IT based positions but can lead to roles in business intelligence, analysts, or data warehouse consultants.
Further information
Total Fees: €9,000
Study Hours
It is recommended that students should try to allow for 5-6 hours per week per five-credit module to their studies.
Data Science is a multi-disciplinary field that attempts to extract knowledge from structured and unstructured data. It combines techniques from mathematics, statistics, information theory, computer science and artificial intelligence with applications in a wide variety of fields. This programme combines 6 taught modules with a strong research project, where students are given the opportunity to implement their learning within a real-life context.
Study Hours
Students are expected to attend 2-3 lectures each week which can range from 1-3 hours. It is recommended that students should try to allow for 5-6 hours per week per 5 credit module to their studies.
Who should apply?
Data Science is a multi-disciplinary field that attempts to extract knowledge from structured and unstructured data. It combines techniques from mathematics, statistics, information theory, computer science and artificial intelligence with applications for professionals in a wide variety of fields and industries.
Modules
Applied Linear Algebra
ADAS and Autonomous System
Architecture
Environment Detection
Multiple View Geometry in
Computer Vision
Automotive System Safety &
Cybersecurity
Applied Statistics and
Probability
Research Methods
Machine Learning
Vehicle Dynamics and Control
Modelling, Simulation and Test
Methods for Advanced Driver
Assistance Systems
Connected Vehicles
Sensor Fusion
MEng CAV Research
Dissertation
Examination & Assessment
This programme is assessed through a blend of continuous assessment and final exams. Students also undertake a Research Project.
Course Coordinator: Donny Hurley: admissions.sligo@atu.ie