Postgraduate Diploma in Strategic Data Analytics for Business
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.
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.
The programme is delivered in blended mode involving students attendance on campus during the semester combined with student engagement with weekly online classes and assessment activities. 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 a ˜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.
Please note: This programme is funded for eligible applicants via Springboard+ (as part of the Human Capital Initiative (Pillar 1).
This programmes includes the following modules:
The following modules will be completed by participants.
Fundamentals and Principles of Data Analytics:
Analytical thinking and data informed decision making are essential in the current digital economy, therefore the demand for individuals to acquire these skills continues to grow at an exponential rate reaching across all industries and professions. This module will provide candidates with the fundamental principles to plan, organise, consolidate, statistically model, evaluate and deploy a data analytics project of any size. Exploring critical data competencies such as governance & ethics, research methodologies and data visualisation will provide participants with an end to end view of the data lifecycle.
Research Methods & Ethics for Data Analytics:
The purpose of this module is to equip students with the necessary skills to carry out effective research in the field of data analytics, using appropriate sources and methods, in an ethically-sensitive manner.
This module aims to provide learners with the knowledge, research skills and competencies required to analyse, plan and implement an advanced data analytics research project from the initial concept phase through to successful completion and communication of results.
It teaches learners how to conduct primary and secondary research in business-appropriate contexts.
Leadership in a Digital World:
This module aims to introduce students to the core theories and concepts of Leadership in an era of technology and the Fourth Industrial Revolution. Students will learn about effective leadership strategies and how to apply these within the field of emerging technologies, thus developing and enhancing their own leadership style.
Advanced Data Analytics in Practice:
The need for businesses to make informed decisions based on relevant data is more important than ever, with an ever-increasing number of data sources and data volume. Data analytics enables a business to explore data in meaningful ways, helping it to turn data into valuable information. In this module learners will be able to gather, clean and process large data sets thus ensuring robust and accurate data on which to organise, model, interpret and present the data into useful information that provides value and meaning for a business.
Business Strategy in Context:
This module aims to introduce students to the concept of business strategy. It encourages students to adopt a strategic perspective on their learning thus far within the programme, and to contextualise business strategy within an organisation / industry sector setting.
Work Placement: Adding value and enhancing performance:
The work placement module provides students with the opportunity to test their knowledge and skills in a supported professional environment. Throughout the placement - using a process of ongoing journaling - students will reflect on their personal competences and attributes, and self-assess these against those graduate attributes most valued by employers. Drawing on their reflective journal, students will - at the end of the placement - compile a portfolio of evidence demonstrating how they have achieved the module outcomes
Work-based Project: Adding value and enhancing performance:
In this module learners will produce an industry based, consultancy-style practical research project designed to add real value to their organisation by solving a problem, enhancing effectiveness or exploiting a new opportunity within their particular industry sector. The research will be conducted in line with GDPR regulations, ethical and legal frameworks, and organisational privacy and security policies.
The programme is delivered in blended mode involving students attendance on campus during the semester combined with student engagement with weekly online classes and assessment activities. It is anticipated that there will be on-campus attendance of at least 1 day per week (Friday), with the rest available in an online capacity.
The following are eligible to apply for courses in 2023/24 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, 2022 or 2023 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.
Applicants will require a level 8 degree in any discipline (minimum 2:2). Suitable candidates who do not meet this criterium may be considered for the programme based on other qualifications and/or work experience. In such cases, the Institute's RPL policy will be applied.
DkIT recognises 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.
|Course Type||Postgraduate, Springboard|
|Starting Date||September 2024|
|School||School of Business & Humanities|
|Awarding Body||Dundalk Institute of Technology|
How To Apply
This course will be open from applications from May 2024. Please fill in the enquiry form below to register your interest.