Computing - Data Science - Sligo

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.

Subjects taught

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

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.

Credits

90

Duration

2.5 years part-time, online.



On-Campus Attendance

No attendance required

Fees

The standard fee for the course is €9,000, or €4,500 per year if completed in two years.

Post Course Info

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.

More details
  • Qualification letters

    MSc

  • Qualifications

    Degree - Masters (Level 9 NFQ)

  • Attendance type

    Part time

  • Apply to

    Course provider