Postgraduate Diploma in Strategic Data Analytics for Business (Full-Time)
The Springboard HCI funded Postgraduate Diploma in Strategic Data Analytics for Business is a conversion programme providing graduates with a set of critical and highly employable skills in data analytics, strategic management and leadership. Participants will be introduced to the fundamentals and principles of data analytics, and will be provided with a comprehensive toolkit to communicate with data owners, frame data problems and realise business value.
Important notice about this course
NOW ENROLLING FOR SEPTEMBER 2020
- This course is supported by Springboard Human Capital Initiative (HCI). You can find more information on Springboard HCI by clicking here.
- This programme is subject to final validation.
The Postgraduate Diploma in Strategic Data Analytics for Business is a conversion programme providing graduates with a set of critical and highly employable skills in data analytics, strategic management and leadership. Participants will be introduced to the fundamentals and principles of data analytics, and will be provided with a comprehensive toolkit to communicate with data owners, frame data problems and realise business value.
Upon completion of this programme, graduates will be able to: apply advanced concepts and techniques relating to data analytics, strategic management and leadership; critically evaluate multiple sources of business and management data; make informed decisions on complex management and functional areas to help boost a business's growth potential, performance and competitiveness; and carry out a 'Adding Value' Data Analytics (DA) project for an organisation.
This programme requires 12 hours of class attendance per week: 9 hours delivered on-site at DkIT, and 3 hours delivered on-line. Delivery incorporates interactive workshops and seminars, guest speakers, industry panels, company visits, and flexible on-line discussion forums and engagement exercises.
The programme comprises six 10 credit modules delivered over two semesters, including a 'Adding Value' DA module where participants choose between a ‘work-placement’ or ‘work-based project’ to help their assigned business boost performance. Assessment is based 100% on course work through a range of individual and team assignments, case analyses, presentations, on-line simulations, e-portfolios and the 'Adding Value' work-project/work-placement.
This is a one year, full-time, high-level re-skilling conversion programme aimed at non-technical graduates. Applicants will require a level 8 qualification (2:2) in any discipline.
During the programme - through a range of guest lectures,live cases studies and industry panels - learners will have the opportunity to meet and engage with representatives from small and medium sized local enterprises and large multi national companies. This experience will expose learners to a range of organizational complexities with regard to growth, competitiveness and performance, helping them to better understand and appreciate the critical nature of data analytics in a business context. Learners will also have an opportunity to engage with start-up businesses in our on-site incubation centre, extending opportunities to appreciate the value of data analytics at the early stages of the business lifecycle and further preparing learners for the job market.
Please note: This programme is funded for eligible applicants via Springboard+ 2020 (as part of the Human Capital Initiative (Pillar 1).
This programmes includes the following modules:
- Fundamentals and Principles of Data Analytics: Introduces learners to the field of DA; current trends; data sources; collection techniques; tools
- Advanced Data Analytics in Practice: Shows learners how to apply a range of advanced DA tools for decision-making/problem solving
- Business Strategy in Context: Covers strategic management analysis and planning tools and techniques to diagnose problems
- Leadership in a Digital World: Learners are introduced to best practice leadership techniques and strategies in a digital context
- Research Methods and Ethics for Data Analytics: Covers research methods/techniques/frameworks for primary/secondary research, and ethical protocols
- Adding Value and Enhancing Performance: Learners carry out a DA exercise for an organisation as a Work-based Project OR as a Work Placement
The following are eligible to apply for courses in 2020/21 academic year (subject to the applicant meeting all requirements, e.g. academic requirements):
- Returners: May apply to all courses if they meet the nationality/visa requirement and residency criteria.
- People in employment: May apply to all courses if they meet the nationality/visa requirement and residency criteria.
- The unemployed or formerly self-employed: All courses are open to these categories of applicants
- Recent Graduates: One-year full-time and two-year part-time ICT Skills Conversion courses are open to recent graduates. However, to participate in an NFQ Level 9 (Post-Graduate) course, 2020 graduates will be required to pay 10% of the course fee (€490.90).
For more information of fees and eligibility criteria, please visit the Springboard+ Website. You may also contact Dr Tim McCormac for more information about Fees for this programme:
DkIT Graduate Office
Unit 13, Regional Development Centre
Applicants will require a level 8 degree in any discipline (minimum 2:2). Suitable candidates who do not meet this criteria may be considered for the programme based on other qualifications and/or work experience.
In such cases, the DkIT Recognition of Prior Learning (RPL) policy process will be applied. DkIT recognizes that knowledge, skills and competencies can be acquired from a range of learning experiences, including formal and informal. Through its RPL policy, the Institute commits to giving appropriate recognition to all relevant learning, irrespective of mode or place of learning.The focus of the RPL process is on the outcomes rather than the process of learning. RPL candidates will need to demonstrate the appropriate academic level of their learning and, where relevant, produce evidence of practical skills.
|School||School of Business & Humanities|
|Awarding Body||Dundalk Institute of Technology|
|Starting Date||28th September 2020 (Subject To Change)|