Building on the learner’s previous qualifications and experience, the achievement of the programme learning outcomes, transferrable skills and the graduates’ previously acquired knowledge, abilities and attributes, the MSc in Applied Software Development aims to:
Provide learners with an intellectually challenging, advanced and rigorous education in Applied Software Development;
Develop the learner’s intellectual ability to analyse user and design requirements, problems, issues and stakeholder needs;
Encourage learners to utilise innovation and change as mechanisms to achieve Applied Software Development solutions to a range of challenging real-world problems;
Imbue learners with a holistic view of the synergistic alliances and collaborations inherent in the delivery of this programme in Applied Software Development work together and complement one another;
Facilitate learners in attaining the professional, social and communicative skills necessary for a graduate of what is a multifaceted discipline;
Foster a culture that places emphasis on learners becoming self-confident, self-reliant and self-sufficient;
Foster an ethos of commitment to a Continual Professional Development mindset, through reflection on learning, identifying skill gaps, and preparing for career advancement in a continually changing and developing sector;
Enable learners who successfully complete the programme to a level of preparation from which they may confidently undertake a level 10 programme in Computing or a related discipline.
The MSc in Data Analytics is a postgraduate masters degree course aimed at IT graduates and professionals, and graduates from cognate/numeric disciplines.
The majority of companies today realise the value of data driven business strategy and are in need of talented individuals to provide insight into the constant stream of collected information. Leveraging the value of big data for strategic advantage has become an increasingly standard business practice globally, resulting in an exponential skills shortage of data analysts. This programme aims to produce graduates who will be able to apply for roles pertaining to Data Analytics across all sectors of the economy.
Taught modules on the Masters in Data Analytics are followed by a Data Analytics project allowing students to apply their knowledge to a specialised applied Data Analytics problem which will be industry-initiated and used as the context for planning, designing, building and testing potential analytical solutions. Modules include, programming, statistics, technology enabled data analysis using machine learning and artificial intelligence, data visualisation, research and ethical studies pertaining to the field. Multiple transversal skills are also embedded throughout the programme including time management, communication, critical thinking and analysis, research, presentation as well as management and leadership development, ethics, project management and evaluation, and professional judgement.
On completion of the BSc (Hons) in Computing and IT degree at CCT College Dublin graduates should:
Be Technically Skilled: Graduates will have the clarity and understanding of the subject area to be able to collaboratively diagnose a subject domain problem from the required overlying system architecture perspective. The ability and insight to be able to examine the contributing factors or components needed to develop the system solution (P.R.I.S.M.). Have the technical skills to be able to design and implement solutions across multiple platforms, utilising multiple programming languages to confidently integrate solutions. The graduate will also have the ability to gather data efficiently, to analyse data, to store and secure data, and to effectively deploy and manage enterprise and cloud-based service solutions.
Be a Problem Solver: The graduate will be able to anticipate the changing landscape of IT development, including the nature of problems and a way towards their potential solutions.
Have Professionalism: The graduate will have the capacity to recognise and appreciate the professional responsibilities and ethical implications of computing professionals and the solutions they design and apply.
Be a Strong Communicator: The graduate will be a clear, transparent communicator who understands their audience, ensuring the right level of detail is provided to assist in intelligent, informed decisions. The graduate will be confident in communicating with people encountered in industry including other computing professionals, business managers or executives, customers, or other stakeholders.
Be an Effective Team Player and Leader: The graduate will have the ability to work with other professionals, discussing work and managing and integrating feedback.
The Bachelor of Business Honours, add on, has two primary aims:
1. to offer a progression opportunity for graduates of level 7-degree programmes (or equivalent) in business or cognate disciplines to provide them with the discipline, academic and transversal skills to enhance their employability in a variety of business-related functions, establish their own business enterprise, or progress to further study
2. to provide a route to attainment of an honours qualification for applicants with extensive disciplinary knowledge, skills and competence acquired through experience, professional development and industry qualifications.
The Higher Diploma in Science in Artificial Intelligence Applications is a postgraduate course which aims to provide an opportunity for learners with a related degree outside the computing arena as well as those currently involved within the IT sphere to refocus and reskill for careers that require AI knowledge and skills. This programme is specifically designed for individuals with an evidenced numerate, technical and analytical ability who aspire to work, or are working, in roles that involve artificial intelligence. They will have the opportunity to continue to develop knowledge, skill and competence to remain competitive and employable in an ever-advancing sector.
Udemy’s Workplace Learning Trends Report: The Skills of the Future’ predicted that 2020 was the year AI went mainstream and adopted in all parts of the business. The demand for high level ICT skills, including AI, is forecast to grow driven by strong market demand and the spread of digitalisation across all sectors of the economy. It is predicted that the demand for high-level ICT professionals will increase from 85,000 in 2018 to 139,000 by 2022, relating to all sectors of the economy. (Technology Skills 2022: Ireland’s Third ICT Skills Action Plan).
The overall aim of this programme, leading to the (Major) award of Higher Diploma is to provide learners with the necessary theoretical and practical skills, knowledge and competence, to gain a comprehensive, strong and specialised, foundation and practical understanding of the area of computing.
On successful completion of this programme, graduates should be able to successfully secure professional roles at entry to mid-level positions in Computing and Computing-related industries and progress to leadership or research roles using skills related to those learned in the programme curriculum. The programme consists of 60 credits of taught modules and 15 credits of project or work-placement.
The Higher Diploma in Science in Data Analytics for Business postgraduate course aims to provide an opportunity for learners with a degree outside the computing arena as well as those currently involved within the IT sphere to refocus and reskill for careers that require Data Analytics knowledge and skills. This programme is specifically designed for individuals with evidenced numerate, technical and analytical ability who aspire to work, or are working, in roles that involve data analysis or the interpretation of data to inform business management and decision-making. They will have the opportunity to continue to develop knowledge, skill and competence to remain competitive and employable in an ever-advancing sector.
Data Analytics is among a set of emerging and rapidly developing technologies termed Innovation Accelerators, which have been identified as being critical to the next wave of digitalisation. According to Gartner’s Hype Cycle 2019, over the next decade, data analytics and AI will augment workers’ efficiency, as companies rely on leading tech to beat out competitors.