Entry Requirements for Data Analytics For Insurance Decision Making
Computer literacy
Duration: 1 Months
Delivery Method: Both Online & Physical
Fee Structure for Data Analytics For Insurance Decision Making
| Full Course Fees | |
|---|---|
| Registration Fee | KES 1,000.00 ($ 10.00) |
| Certification Fee | KES 0.00 ($ 0.00) |
| Administration Fee | KES 0.00 ($ 0.00) |
| Internal Exam Fee | KES 0.00 ($ 0.00) |
| External Exam Fee | KES 0.00 ($ 0.00) |
| Examining Body Membership Fee * | KES 0.00 ($ 0.00) |
| Tuition Fee | KES 14,000.00 ($ 140.00) |
| Fees Totals | KES 15,000.00 ($ 150.00) |
| * Examining Body Membership Fee may be payable through us or directly to the Examining Body | |
All Fees are payable in lumpusm or in installments, for details see below.
Breakdown per semester,
| Trimester | Total Per Trimester |
|---|---|
| Trimester 1 | KES 15,000.00 ($ 150.00) |
| Total | KES 15,000.00 ($ 150.00) |
NB: Fees are payable in 3 installments as detailed below:
The trimester fees of KES 15,000.00 ($ 150.00) is payable in 3 installments of KES 5,000.00 ($ 50.00)
Course Requirements for Data Analytics For Insurance Decision Making
- All Fees are payable in installements, for details check FAQs.
- Digital (downloadable) certificates are available. Printing and shipping of hardcopy certificate can be done at a cost of KES 2,000 ($ 20).
Practical Requirements for Data Analytics For Insurance Decision Making (where applicable)
The cost of practicals, internships or industrial requirements is KES 30,000 ($ 300) and only applies to courses that require practicals.
Course Units/Overview for Data Analytics For Insurance Decision Making
Data Analytics for Insurance Decision Making
| Unit ID | Unit Name |
|---|---|
| DAIDM | Data Analytics For Insurance Decision Making |
Course Description for Data Analytics For Insurance Decision Making
Course Overview
The Data Analytics for Insurance Decision Making course is a 1-month online program designed to equip learners with practical knowledge and skills in using data analytics to improve decision-making across insurance operations. The course explores how insurers leverage data to enhance underwriting, claims management, fraud detection, customer segmentation, pricing, risk assessment, and strategic planning. Learners will gain a solid understanding of how data-driven insights support operational efficiency, profitability, and customer satisfaction in the modern insurance industry. The course covers data collection and management, data visualization, descriptive, diagnostic, predictive, and prescriptive analytics, business intelligence, key performance indicators (KPIs), insurance data interpretation, statistical analysis, and emerging technologies such as artificial intelligence and machine learning in insurance analytics. Learners will also explore ethical data practices, data governance, cybersecurity considerations, and regulatory compliance in data management.
Through practical case studies, real-world insurance datasets, and industry best practices, learners will develop the ability to analyze insurance data, identify trends and risks, generate actionable insights, and support evidence-based decision-making across life, health, motor, property, and commercial insurance. The course is suitable for insurance professionals, underwriters, claims officers, risk managers, business analysts, data analysts, actuaries, insurance executives, brokers, and individuals seeking careers in insurance analytics and digital transformation.
What is the minimum grade required to do Data Analytics for Insurance Decision Making?
In order to enroll and study for Data Analytics for Insurance Decision Making, you are required to have basic computer literacy.
Mode of Delivery
The mode of delivery is Online Learning which means that one can study from home and/or the office. Our Program employs a variety of self-instructional electronic and online self-study materials, such as; written self-instructional study modules, online interactive devices, and self-tests, cloud-based content, videos of lectures mediated technical learning materials e.g., audio-visual and e-learning materials.
Career Opportunities
- Insurance Data Analyst
- Business Intelligence Analyst
- Insurance Business Analyst
- Risk Analytics Officer
- Claims Analytics Specialist
- Underwriting Analyst
- Insurance Performance Analyst
- Data Reporting Officer
- Insurance Operations Analyst
- Actuarial Analyst
- Decision Support Analyst
- Insurance Strategy Analyst
Programme Goals
- Build a strong understanding of data analytics concepts and their application in insurance.
- Equip learners with practical skills in collecting, analyzing, and interpreting insurance data.
- Develop competence in applying data-driven decision-making across underwriting, claims, and risk management.
- Strengthen knowledge of predictive analytics and business intelligence tools.
- Promote ethical data management, governance, and regulatory compliance.
- Enhance analytical skills for identifying trends, risks, and business opportunities.
- Improve organizational performance through evidence-based decision-making.
- Support innovation through the application of emerging analytics technologies in insurance.
- Foster professionalism in data analysis and insurance reporting.
- Prepare learners for careers in insurance analytics, business intelligence, and digital transformation.
Reasons to Study
- Gain practical skills in analyzing insurance data for informed decision-making.
- Learn how data analytics improves underwriting, claims management, and fraud detection.
- Develop expertise in predictive analytics and business intelligence for insurance.
- Strengthen knowledge of data visualization and performance reporting techniques.
- Enhance analytical and problem-solving skills using real-world insurance data.
- Understand ethical data management and regulatory compliance requirements.
- Improve career opportunities in insurance analytics, business intelligence, and risk management.
- Build confidence in making strategic business decisions based on data insights.
- Support organizations in improving operational efficiency and customer satisfaction.
- Gain a competitive advantage in the increasingly data-driven insurance industry.
Tags
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Course Instructor(s) for Data Analytics For Insurance Decision Making
TBA
Examining Body for Data Analytics For Insurance Decision Making
FINSTOCK EVARSITY COLLEGE
FAQs for Data Analytics For Insurance Decision Making
Q1. How many intakes are there?
There are three intakes in a year as follows:
|
Cohort |
Name |
Term Period |
Months |
Registration Window |
|
January Intake |
Trimester 1 |
Jan 1 — Apr 30 |
4 |
Anytime |
|
May Intake |
Trimester 2 |
May 1 — Aug 31 |
4 |
Anytime |
|
September Intake |
Trimester 3 |
Sep 1 — Dec 31 |
4 |
Anytime |
Q2. In how many installments can I pay the fees?
Payments can be done in 3 installments as specified in the fee structure.
Q3. When can I sit for the exams?
- Internal exams are activated for students individually.
- External exams (where applicable) are booked one month after you complete the course.
Refer to the external examining body for more details and requirements before seating for their exams.
Q4: Is this college accredited/approved?
Yes. The college is approved under the ministry of education, through TVETA, and also through National Industrial Training Authority (NITA).
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