On successful completion of this programme, LIT’s graduates have developed comprehensive analytical and rounded business skills which blend perfectly to solve business problems using appropriate Computer Software solutions.
The fusion of Business and Computing allows students to achieve maximum learning and self-development. Students will advance their business information technology knowledge, experience and skills through extensive practical assignments and coursework.
Computing and Technology are part of just about everything that touches our lives. Gaining a proficiency in the different dimensions of computing and business will provide graduates with the necessary skills to create a stable career in the 21st century.
Who is the programme suited to?
This programme will suit those who want to prepare for a career in business but who also want to learn more about business analytics, technology and management disciplines that are an essential part of today’s business world.
Top 3 Reasons
1. Opportunity to gain Professional Computing Certification (Microsoft) as part of your studies.
2. Complete industry projects as part of your studies.
3. Undertake six months industry work placement in year 3 as part of your studies
Class Contact Hours
Year 1: 24 hours per week.
Year 2: 24 hours per week.
Year 3: 22 hours per week.
Year 4: 20 hours per week.
Did You Know?
IT graduates are among the most sought after and highly paid graduates in the world.
The technology sector is facing a severe skills shortage and the education system is not able to produce enough graduates to meet demand.
The biggest trend in the last four years has been the growth of the IT sector worldwide.
IT Software Analyst
Graduates of the programme can progress to Level 8 Business Computing programmes at LIT.
With a mix of skills offered on the programme, graduates have more versatility in the jobs available after graduation; graduates from this programme have chosen careers in Accounting, Project Management, Entrepreneurship, Recruitment, Programming, Data Analytics.