Dundalk Institute of Technology - DKIT
Dundalk Institute of Technology - DKIT
Course Code
DK_BSTDA_9
Zone
Attendance
Daytime

Course Summary

The MBS in Strategic Data Analytics for Business provides 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.

College Link

Dundalk Institute of Technology - DKIT
College Link > DK_BSTDA_9 - Strategic Data Analytics for Business

Colleges often have information about the course on their own website, along with other useful information relating to the college. (Note: Not always available)

Career Sectors

This course prepares you for working in the Career Sectors below. Follow the links to get a fuller understanding of the sectors you are preparing for.

Entry Requirements

Application Details

How To Apply
Apply Directly to DkIT
Apply directly to DkIT using our online applications system (see "Application Weblink" above). Please remember to upload the required documentation (copies of your existing qualification(s), your CV, any other support documents etc) with your online application to expedite your application. To avoid disappointment early registration is recommended.

International Application (non-EU)
International Applicants (not from or living in the EU) can apply through an agent or directly to DkIT to study this course.

Start Date: September 2025.

Fees

EU Fees:
Full-time (EU): €5,800
Part-time (EU): tbc

Non-EU Fees:
Full-time (non-EU): €12,000
Part-time (non-EU): n/a

The Student

Career Interests

This course is typically suited for people with the following Career Interests. If these interests do not describe you, this course may prepare you for work you may not find satisfying.

Enterprising

Enterprising people like situations that involve using resources for personal or corporate economic gain. Such people may have an opportunistic frame of mind, and are drawn to commerce, trade and making deals. Some pursue sales and marketing occupations. Many will eventually end up owning their own business, or in management roles in larger organisations. They tend to be very goal-oriented and work best when focused on a target. Some have an entrepreneurial inclination.


Investigative

The Investigative person will usually find a particular area of science to be of interest. They are inclined toward intellectual and analytical activities and enjoy observation and theory. They may prefer thought to action, and enjoy the challenge of solving problems with sophiscticated technology. These types prefer mentally stimulating environments and often pay close attention to developments in their chosen field.


Career Progression

Career Opportunities
The programme will provide learners with an extended skill set which will lead to greater employment opportunities in a wide range of sectors. The core Data Analytics competencies that learners will develop through the programme will enable them to take on specialist Data Management roles within industry, while the Business Strategy and Leadership competencies will enable them to manage existing projects/teams, develop and lead new initiatives, and instigate projects that add value and make a difference to any organisation. They will be able to oversee the creation and implementation of a strategy for their domain around the following: data requirements, data governance, technology requirements, skills requirements and change management. They will be able to work with data engineers, data scientists, and data analysts to create this data strategy. Perhaps the most applicable title would be Data Strategist. Hence, graduates will be able to seek specialist or broad Data Analytics, Strategy and Leadership roles in government organisations, SMEs and large corporates, both nationally and internationally.

Duration

1 year full-time, 2 years part-time blended delivery.

Course Delivery and Modules
The programme is delivered in blended mode involving students participating in weekly online classes and also attending a number of mandatory face to face sessions on campus for laboratory and group work. The dates and times for campus attendance will be published in advance to allow participants to plan their schedules. Please note that these face-to-face sessions are mandatory and full attendance at all is required

The programme is delivered over 1 year in full-time mode or 2 years in part-time mode.
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