Entry Requirements for Artificial Intelligence And Data Science In Labour Recruitment
No entry grade required
Duration: 1 Months
Delivery Method: Both Online & Physical
Fee Structure for Artificial Intelligence And Data Science In Labour Recruitment
| 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 Artificial Intelligence And Data Science In Labour Recruitment
- 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 Artificial Intelligence And Data Science In Labour Recruitment (where applicable)
The cost of practicals, internships or industrial requirements is KES 10,000 ($ 100) per month (only applies to courses that require practical).
Course Units/Overview for Artificial Intelligence And Data Science In Labour Recruitment
Artificial Intelligence and Data Science in Labour Recruitment
| Unit ID | Unit Name |
|---|---|
| AIDSLR001 | Artificial Intelligence And Data Science In Labour Recruitment |
Course Description for Artificial Intelligence And Data Science In Labour Recruitment
Artificial Intelligence and Data Science in Labour Recruitment
Course overview
The Data Protection and Privacy Management in Labour Recruitment course is a 1-month online program designed to equip learners with essential knowledge and practical skills for managing personal data responsibly within recruitment and human resource environments. The course focuses on the principles of data protection, privacy laws, ethical data handling, and compliance requirements relevant to labour recruitment agencies. Learners will gain an understanding of how to collect, store, process, and share candidate and employee information securely while minimizing legal and reputational risks.
This program emphasizes practical application in recruitment settings, including safeguarding digital records, managing consent, handling cross-border data transfers, and responding to data breaches. Through real-world scenarios and best practices, learners will develop the ability to implement effective data protection policies and privacy controls within recruitment operations. The course is ideal for recruitment professionals, HR officers, compliance staff, and agency managers seeking to strengthen data governance, ensure regulatory compliance, and build trust with clients and job seekers in an increasingly data-driven labour market.
What is the minimum grade required to do a Artificial Intelligence and Data Science in Labour Recruitment?
In order to enroll and study for Artificial Intelligence and Data Science in Labour Recruitment there is no entry grade required.
Mode of Delivery
Home and/or office-based media employing 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., audiovisual and e-learning materials
Once enrolled on the course you will receive access to the e-learning site, where you will be able to access your healthcare assistant learning materials, join learner forums and access tutor support.
Career Opportunities
- Data Protection Officer (DPO)
- Privacy Compliance Manager
- Recruitment Data Governance Officer
- HR Data Protection Specialist
- Privacy Risk and Audit Analyst
- Information Security and Privacy Analyst
- GDPR / Data Protection Compliance Consultant
- Data Protection Policy and Training Officer
- Labour Recruitment Compliance Officer
- Privacy Operations and Incident Response Manager
- Regulatory Affairs and Privacy Liaison Officer
Programme Goals
- Build a strong understanding of data protection and privacy principles within labour recruitment operations
- Equip learners with practical skills to manage and safeguard candidate and employee personal data
- Promote compliance with data protection laws, regulations, and ethical standards in recruitment practices
- Enhance risk awareness and mitigation of data breaches, misuse, and unauthorized access
- Develop competence in designing and implementing privacy policies and procedures for recruitment agencies
- Strengthen accountability and transparency in handling sensitive recruitment and workforce data
- Support secure use of recruitment technologies, databases, and digital platforms
- Foster trust with clients, candidates, and regulatory bodies through responsible data management
- Prepare learners to advise recruitment agencies on privacy governance and data protection best practices
- Encourage a culture of confidentiality, integrity, and professionalism in labour recruitment environments
- Bottom of Form
Reasons to study
- Enhance data-driven decision-making in talent sourcing and hiring
- Improve candidate screening accuracy using AI-powered analytics
- Reduce recruitment bias through algorithm-supported assessments
- Optimize talent matching between candidates and job roles
- Predict workforce trends and labor market demands
- Automate repetitive recruitment processes for efficiency
- Strengthen employer branding through intelligent insights
- Improve retention rates using predictive analytics
- Enable real-time analysis of recruitment performance metrics
- Support strategic workforce planning and forecasting
- Gain competitive advantage in modern, technology-driven recruitment agencies
What we offer
Finstock Evarsity College offers a wide range of courses that are geared towards job creation as well as employment. Our courses and product offerings are categorized as online college based, degree programs, freemium courses and premium resources
Both freemium and premium online courses come with certificates of completion and you can register instantly and begin studying at your convenience.
Enroll and study in one of the best online Artificial Intelligence and Data Science in Labour Recruitment, in the world. Listen to the advice of the best. Participate in training sessions with industry experts to learn more about your career options. Take classes with students from all over the world. Join us at Finstock Evarsity College for the best learning experience.
Tags
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Course Instructor(s) for Artificial Intelligence And Data Science In Labour Recruitment
TBA
Examining Body for Artificial Intelligence And Data Science In Labour Recruitment
FINSTOCK EVARSITY COLLEGE
FAQs for Artificial Intelligence And Data Science In Labour Recruitment
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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