Artificial Intelligence for Business - Online
T

TUS - Technological University of the Shannon

Artificial Intelligence for Business - Online

This programme will be taught synchronously and asynchronously online. Students will have synchronous classes two evenings a week over three semesters. The fourth and final semester will involve project supervision one on one with each student.

Subjects taught

Mathematics for Artificial Intelligence Credits : 5

Business Artificial Intelligence Case Studies Credits: 5

Fundamentals of Machine Learning Credits: 10

Data Mining and Business Intelligence Credits: 10

Data Engineering Credits: 10

Deep Learning Credits: 10

Legal, Social and Ethical Implications of AI Credits: 5

Research Methods Credits: 5

Applied Research Project Credits: 30



Mathematics for Artificial Intelligence and Legal, Social and Ethical Implications of AI modules require in-person campus attendance for end-of-semester examinations.

Entry requirements

Students are expected to have a numerate background with prior exposure to computer programming. Minimum Entry Requirements: Students are expected to have a minimum of a Merit Higher Diploma (Level 8) or 2.2 Honours Bachelor Degree (Level 8) in Computing/Business Computing, Electronics, Computer Science, Software Engineering, Data/Business Analytics, Physics, Statistics or equivalent.



Non-native English speakers are required to have an IELTS level of 6.5 or higher, or a CEFR English level of at least B2 or equivalent.

Duration

1 year

Post Course Info

Graduates from this programme will be in a very strong position to move into an AI role in any organisation, especially considering their original qualifications and, in some cases, work experience. This programme will equip graduates with the key skills required to work in a business world where artificial intelligence is becoming ever more present. Roles that graduates could fill after completing the programme include:



Data Analyst

Data Scientist

Data/AI Sales Strategist

Sales Engineer

Product Owner

Data Engineer



Further Study

Upon completion, graduates will be eligible to apply to a relevant Level 10 programme.

More details
  • Qualification letters

    MSc.

  • Qualifications

    Degree - Masters (Level 9 NFQ)

  • Attendance type

    Part time

  • Apply to

    Course provider