| Program start date | Application deadline |
| 2023-09-25 | - |
Program Overview
The Higher Diploma in Science in Data Analytics at NCI equips students with a comprehensive understanding of data analytics, combining statistical, business intelligence, and technical skills. Graduates are prepared for careers as Data Analysts, Business Analysts, and Data Scientists, with a focus on solving business problems using data analysis tools and techniques. The program is delivered in a blended format, with a mix of livestreams and on-campus classes, and offers both 1-year and 2-year options.
Program Outline
Degree Overview:
Overview:
The Higher Diploma in Science in Data Analytics program at NCI aims to equip students with a comprehensive understanding of data analytics to build a foundation for a career in this in-demand field. The program offers a combination of statistical, business intelligence, and technical skills.
Objectives:
Upon completion of the program, graduates will be able to:
- Develop statistical skills to effectively analyze data using descriptive and inferential statistics within a business context.
- Solve business problems using data analysis tools and techniques.
- Develop technical skills to process datasets using modeling, programming, data storage, and computational techniques.
- Communicate data analysis results to both technical and non-technical audiences.
- Evaluate data governance frameworks to ensure best practices in data management.
- Apply machine learning techniques to tasks such as predictions, trend identification, data grouping, and target audience identification.
Outline:
Program Content:
1 Year Program
Semester 1:
- Statistics I
- Programming for Data Analytics
- Data Governance
Semester 2:
- Statistics II
- Databases for Analytics
- Business Intelligence
- Career Bridge
2 Year Program
Year 1
Semester 1:
- Statistics I
- Programming for Data Analytics
Semester 2:
- Statistics II
- Data Governance
- Business Intelligence
- Career Bridge
Year 2
Semester 1:
- Machine Learning
- Database for Analytics
Semester 2:
- Project
Course Schedule:
- 1 Year Option: Classes scheduled Monday-Wednesday 18:00-22:00 with additional self-directed e-learning (4.5 hours per week).
- 2 Year Option: Online delivery on Monday & Wednesday 18:00-22:00, with additional self-directed e-learning (2-3 hours per week).
Assessment:
The program uses a combination of continuous assessment and exams, generally a 50/50 split. Assessment methods may vary across modules. Exams may be scheduled during morning, afternoon, or evening slots, Monday through Saturday.
Teaching:
Teaching Methods:
The program is delivered in a blended format, with a mix of livestreams and on-campus stream classes. The timetable includes scheduled classes, with students expected to actively participate in lectures, labs, and projects.
Careers:
Career Paths:
Graduates of the program are prepared for roles in data analytics, including:
- Data Analyst
- Business Analyst
- Data Scientist
- Business Intelligence Analyst
- Market Research Analyst
Career Outcomes:
Recent graduates have secured employment at companies such as:
- Central Bank of Ireland
- Intel
- Commission for Communications Regulation
- Pfizer
- Coinbase
- TikTok
Springboard+ Student Fees A student contribution fee of €540 is applicable if you are in employment. No fees applicable if you are unemployed. The scheme does not cover any allowance for books and materials. See the Springboard+ tab above for further information. If a student contribution fee is applicable this must be paid in full no later than Friday 17th of November 2023. Non-Springboard+ Student Fees This course costs €4,725 (fees revised annually). You can spread the cost of this course with a direct debit plan.
