Practical Solutions, Shared Value
Add six months of dedicated analytical capacity to your team with AIMS interns and accelerate your progress on complex challenges requiring technical talent trained in data science and mathematical epidemiology.

Practical Solutions, Shared Value
Add six months of dedicated analytical capacity to your team with AIMS interns and accelerate your progress on complex challenges requiring technical talent trained in data science and mathematical epidemiology.

Build smarter,
grow stronger
Add six months of dedicated analytical capacity to your team with AIMS interns and accelerate your progress on complex challenges requiring technical talent trained in data science and mathematical epidemiology.

Who we are
Africa’s Mathematical Science Engine for Innovation
The African Institute for Mathematical Sciences (AIMS) is a pan‑African network of Centers of Excellence dedicated to building Africa’s scientific, technological, and innovation capacity through advanced training in mathematical sciences.
With centers in Cameroon, Ghana, Rwanda, Senegal, and South Africa, and a growing alumni network of over 3,500 graduates, AIMS equips Africa’s brightest minds with rigorous analytical, computational, and problem‑solving skills.
Who we are
Africa’s Mathematical Science Engine for Innovation
The African Institute for Mathematical Sciences (AIMS) is a pan‑African network of Centers of Excellence dedicated to building Africa’s scientific, technological, and innovation capacity through advanced training in mathematical sciences.
With centers in Cameroon, Ghana, Rwanda, Senegal, and South Africa, and a growing alumni network of over 3,500 graduates, AIMS equips Africa’s brightest minds with rigorous analytical, computational, and problem‑solving skills.
Who we are
Africa’s Mathematical Science Engine for Innovation
The African Institute for Mathematical Sciences (AIMS) is a pan‑African network of Centers of Excellence dedicated to building Africa’s scientific, technological, and innovation capacity through advanced training in mathematical sciences.
With centers in Cameroon, Ghana, Rwanda, Senegal, and South Africa, and a growing alumni network of over 3,500 graduates, AIMS equips Africa’s brightest minds with rigorous analytical, computational, and problem‑solving skills.
Preparing students
to solve real problems.

Prof. Dr. Mama FOUPOUAGNIGNI
Center President, AIMS Cameroon
Today’s organizations face increasingly complex challenges: optimizing limited resources, understanding uncertain environments, making sense of growing data, managing risk, and planning for the future. Mathematical sciences are a toolbox of solutions to our daily life problems. They sit at the core of these challenges, often invisibly, powering better decisions, stronger systems, and sustainable growth.
Our Program connects your organization with highly trained mathematical science talent who can turn complexity into clarity, and theory into measurable impact. AIMS internships have a proven track record of providing partners with access to advanced analytical capacity, applied research skills, and a pipeline of future-ready talent at a fraction of the true market cost.
Our Programs
Our Cooperative Master’s programs combine advanced academic training with real industry engagement to prepare graduates who can solve practical challenges across Africa’s economy. The Data Science program develops talent ready to contribute across sectors, while Mathematical Epidemiology focuses on disease modeling and health technology innovation. Both programs train students to build solutions that strengthen Africa’s long-term economic and public health resilience.
Our Programs
Our Cooperative Master’s programs combine advanced academic training with real industry engagement to prepare graduates who can solve practical challenges across Africa’s economy. The Data Science program develops talent ready to contribute across sectors, while Mathematical Epidemiology focuses on disease modeling and health technology innovation. Both programs train students to build solutions that strengthen Africa’s long-term economic and public health resilience.
Our Programs
Our Cooperative Master’s programs combine advanced academic training with real industry engagement to prepare graduates who can solve practical challenges across Africa’s economy. The Data Science program develops talent ready to contribute across sectors, while Mathematical Epidemiology focuses on disease modeling and health technology innovation. Both programs train students to build solutions that strengthen Africa’s long-term economic and public health resilience.
Our Cooperative Education Model
Academic Excellence Meets Practical Impact
The AIMS Cooperative Master’s model combines rigorous postgraduate training in the mathematical sciences with six months of structured internships embedded within partner organizations. Projects are built around co-designed problem statements aligned with organizational priorities, ensuring students contribute directly to operational, analytical, and strategic challenges under joint supervision from AIMS and the partner organization. The program is broken down into four phases
Course Work Phase
October - May
In this phase, students dive deep into core concepts, taking specialized courses in their field—whether it’s data science or mathematical epidemiology. Guided by world-class lecturers, they build a strong theoretical foundation in statistics, modeling, and computational methods.
Research Phase
March - June
Next, students embark on a full research project, applying what they've learned to tackle a complex problem. Working closely with mentors, they conduct original analysis, developing insights that deepen their academic expertise.
Internship Bootcamp
July
Before stepping into industry, students prepare with a tailored bootcamp. They engage in real-world case studies from their future industries, gaining practical skills in business management, problem-solving, and leadership—preparing them to add immediate value.
Internships
August - February
Finally, students step into their six-month industry internships, embedded in organizations where they drive high-level priorities. They translate their research, technical skills, and business acumen into tangible impact for the organization’s strategic goals.
Our Cooperative Education Model
Academic Excellence Meets Practical Impact
The AIMS Cooperative Master’s model combines rigorous postgraduate training in the mathematical sciences with six months of structured internships embedded within partner organizations. Projects are built around co-designed problem statements aligned with organizational priorities, ensuring students contribute directly to operational, analytical, and strategic challenges under joint supervision from AIMS and the partner organization. The program is broken down into four phases
Course Work Phase
October - May
In this phase, students dive deep into core concepts, taking specialized courses in their field—whether it’s data science or mathematical epidemiology. Guided by world-class lecturers, they build a strong theoretical foundation in statistics, modeling, and computational methods.
Research Phase
March - June
Next, students embark on a full research project, applying what they've learned to tackle a complex problem. Working closely with mentors, they conduct original analysis, developing insights that deepen their academic expertise.
Internship Bootcamp
July
Before stepping into industry, students prepare with a tailored bootcamp. They engage in real-world case studies from their future industries, gaining practical skills in business management, problem-solving, and leadership—preparing them to add immediate value.
Internships
August - February
Finally, students step into their six-month industry internships, embedded in organizations where they drive high-level priorities. They translate their research, technical skills, and business acumen into tangible impact for the organization’s strategic goals.
Our Cooperative Education Model
Academic Excellence Meets Practical Impact
The AIMS Cooperative Master’s model combines rigorous postgraduate training in the mathematical sciences with six months of structured internships embedded within partner organizations. Projects are built around co-designed problem statements aligned with organizational priorities, ensuring students contribute directly to operational, analytical, and strategic challenges under joint supervision from AIMS and the partner organization. The program is broken down into four phases
Course Work Phase
October - May
In this phase, students dive deep into core concepts, taking specialized courses in their field—whether it’s data science or mathematical epidemiology. Guided by world-class lecturers, they build a strong theoretical foundation in statistics, modeling, and computational methods.
Research Phase
March - June
Next, students embark on a full research project, applying what they've learned to tackle a complex problem. Working closely with mentors, they conduct original analysis, developing insights that deepen their academic expertise.
Internship Bootcamp
July
Before stepping into industry, students prepare with a tailored bootcamp. They engage in real-world case studies from their future industries, gaining practical skills in business management, problem-solving, and leadership—preparing them to add immediate value.
Internships
August - February
Finally, students step into their six-month industry internships, embedded in organizations where they drive high-level priorities. They translate their research, technical skills, and business acumen into tangible impact for the organization’s strategic goals.
Our Interns.
Exceptional Talent, Carefully Selected
The 2026 cohort includes 62 students from 16 African countries, bringing diverse perspectives and interdisciplinary strengths.
These students are recruited from across Africa through a highly competitive selection process and bring strong foundations in mathematics, statistics, and computer science.
They are trained to communicate complex ideas clearly to non-specialists and are motivated to apply scientific thinking to real-world challenges.

Our Interns.
Exceptional Talent, Carefully Selected
The 2026 cohort includes 62 students from 16 African countries, bringing diverse perspectives and interdisciplinary strengths.
These students are recruited from across Africa through a highly competitive selection process and bring strong foundations in mathematics, statistics, and computer science.
They are trained to communicate complex ideas clearly to non-specialists and are motivated to apply scientific thinking to real-world challenges.

Our Interns.
Exceptional Talent, Carefully Selected
The 2026 cohort includes 62 students from 16 African countries, bringing diverse perspectives and interdisciplinary strengths.
These students are recruited from across Africa through a highly competitive selection process and bring strong foundations in mathematics, statistics, and computer science.
They are trained to communicate complex ideas clearly to non-specialists and are motivated to apply scientific thinking to real-world challenges.

“We’ve been consistently impressed with the enthusiasm, drive, and passion of the AIMS graduates who have interned at Vula. We can provide no greater compliment than the fact that they are now permanent members of our team.”

Nic Rawhani
CEO, Vula. London Uk.
“We’ve been consistently impressed with the enthusiasm, drive, and passion of the AIMS graduates who have interned at Vula. We can provide no greater compliment than the fact that they are now permanent members of our team.”

Nic Rawhani
CEO, Vula. London Uk.
Why Partner With Us ?
Connect with Africa’s Analytical Leaders, Trained by AIMS
Connect with Africa’s Analytical Leaders, Trained by AIMS
01
Gain access top emerging mathematical science talent.
Partner with AIMS to connect with some of Africa’s most promising minds, trained in advanced analytics and mathematical modeling. These students bring fresh perspectives and technical prowess to your team.
02
Gain early access to future employees
Experience the next generation of talent firsthand; evaluate interns in real projects and build long-term recruitment pipelines as they grow in their careers.
03
Enhance your organization’s visibility and social impact
By partnering with AIMS, you position your organization at the forefront of Africa’s development, demonstrating a commitment to real economic and scientific progress.
04
Strengthen your analytical and decision‑making capacity
Work with interns who bring advanced analytical skills to your projects; helping you make data-driven decisions and solve complex business challenges with confidence.
05
Benefit from a co-funding model that works.
Our shared-cost model reduces financial barriers, allowing your organization to access top talent while sharing costs; making impactful innovation more accessible.

Still not sure?
Book a free discovery call.
Still not sure?
Book a free discovery call.
Learn more about how we work and how we can help you and your business take the next step.
Learn more about how we work and how we can help you and your business take the next step.
Open To Work
Review Our Candidate Profiles for Internship

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Kenya
David Apamo Owuor
Statistician | Mathematical Epidemiologist | Data Scientist | Research Analyst
Open To Work
Review Our Candidate Profiles for Internship

Available

Available

Available

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Available

Available

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Available

Available

Available
Kenya
David Apamo Owuor
Statistician | Mathematical Epidemiologist | Data Scientist | Research Analyst
Open To Work
Review Our Candidate Profiles for Internship

Available

Available

Available

Available

Available

Available

Available

Available

Available

Available

Available

Available
Kenya
David Apamo Owuor
Statistician | Mathematical Epidemiologist | Data Scientist | Research Analyst
What people who work
with us think
about us?
Working with an AIMS intern in our team was a standout experience. Their strong analytical foundation, combined with real eagerness to learn and contribute, made an immediate impact. Their ability to tackle complex data challenges with creativity and confidence speaks volumes about the quality of training AIMS provides.
Joris Bekkers
Data Scientist
@PySport, Eindhoven, Netherlands.
We were delighted to host one of the AIMS students as an intern at COVA. His commitment, determination, and analytical skills not only impressed the team, but also contributed to essential projects within the company. This was an enriching experience, a strong testament to how AIMS training prepares students to excel...
Virginie Pouna
Ceo
@COVA
We’ve been consistently impressed with the enthusiasm, drive, and passion of the AIMS graduates who have interned at Vula. We can provide no greater compliment than the fact that they are now permanent members of our team.
Nic Rawhani
CEO
@Vula. London, UK
This is the first internship I have seen (and I have seen many internships) where the intern gets code recommendations submitted and integrated into production.
Koen Vossen
Founder
@Eydle. Eindhoven, Netherlands
At Pezesha, we have had the privilege of working with exceptionally talented graduates from AIMS who have significantly contributed to our growth and impact. Data sits at the core of our business, and this talent has been instrumental in fueling our vision and expansion. . .
Hilda Moraa
CEO
@Pezesha. Nairobi, Kenya
What
people who work
with us think
about us?
Working with an AIMS intern in our team was a standout experience. Their strong analytical foundation, combined with real eagerness to learn and contribute, made an immediate impact. Their ability to tackle complex data challenges with creativity and confidence speaks volumes about the quality of training AIMS provides.
Joris Bekkers
Data Scientist
@PySport, Eindhoven, Netherlands.
We were delighted to host one of the AIMS students as an intern at COVA. His commitment, determination, and analytical skills not only impressed the team, but also contributed to essential projects within the company. This was an enriching experience, a strong testament to how AIMS training prepares students to excel...
Virginie Pouna
Ceo
@COVA
We’ve been consistently impressed with the enthusiasm, drive, and passion of the AIMS graduates who have interned at Vula. We can provide no greater compliment than the fact that they are now permanent members of our team.
Nic Rawhani
CEO
@Vula. London, UK
This is the first internship I have seen (and I have seen many internships) where the intern gets code recommendations submitted and integrated into production.
Koen Vossen
Founder
@Eydle. Eindhoven, Netherlands
At Pezesha, we have had the privilege of working with exceptionally talented graduates from AIMS who have significantly contributed to our growth and impact. Data sits at the core of our business, and this talent has been instrumental in fueling our vision and expansion. . .
Hilda Moraa
CEO
@Pezesha. Nairobi, Kenya
What people who work
with us think
about us?
Working with an AIMS intern in our team was a standout experience. Their strong analytical foundation, combined with real eagerness to learn and contribute, made an immediate impact. Their ability to tackle complex data challenges with creativity and confidence speaks volumes about the quality of training AIMS provides.
Joris Bekkers
Data Scientist
@PySport, Eindhoven, Netherlands.
We were delighted to host one of the AIMS students as an intern at COVA. His commitment, determination, and analytical skills not only impressed the team, but also contributed to essential projects within the company. This was an enriching experience, a strong testament to how AIMS training prepares students to excel...
Virginie Pouna
Ceo
@COVA
We’ve been consistently impressed with the enthusiasm, drive, and passion of the AIMS graduates who have interned at Vula. We can provide no greater compliment than the fact that they are now permanent members of our team.
Nic Rawhani
CEO
@Vula. London, UK
This is the first internship I have seen (and I have seen many internships) where the intern gets code recommendations submitted and integrated into production.
Koen Vossen
Founder
@Eydle. Eindhoven, Netherlands
At Pezesha, we have had the privilege of working with exceptionally talented graduates from AIMS who have significantly contributed to our growth and impact. Data sits at the core of our business, and this talent has been instrumental in fueling our vision and expansion. . .
Hilda Moraa
CEO
@Pezesha. Nairobi, Kenya
FAQ
What Partners ask us most
We’re here for the follow-up questions too—reach out to our team.
How does the co-funding model work?
The internship is co-funded between AIMS and the host organization. Together, we assess the overall cost of the internship, after which the organization indicates its available budget. AIMS then works to cover the remaining portion where feasible, making the model flexible and accessible while ensuring meaningful engagement for both parties.
What kind of support does AIMS provide during the internship?
AIMS provides structured academic support throughout the internship. Each student is assigned an AIMS supervisor (a senior scientist) for technical guidance, as well as a tutor who ensures regular weekly check-ins and progress tracking. This allows organizations to benefit from high-level oversight without added management burden.
Is this an academic or professional internship?
These are best described as pseudo-professional internships. While part of an academic programme, the focus is on your organization’s priorities. Students are embedded to work on real challenges—not predefined academic research—while AIMS provides structured academic oversight.
Can organizations hire interns after the programme?
Yes. Organizations are free to hire interns after the internship. Once the six-month placement is completed, students can immediately transition into full-time roles without any obligation to return to campus.
What kind of projects can interns work on?
Interns work on projects that require strong analytical and computational thinking. This includes data analysis, modeling, forecasting, optimization, machine learning, and decision-support tools—always aligned with the organization’s operational or strategic priorities.
How are internship projects defined?
Projects are co-designed between AIMS and the host organization before the internship begins. This ensures clarity of scope, alignment with your priorities, and that the student’s skills are effectively matched to the problem.
What kind of problems can AIMS interns solve within an organization?
AIMS interns work on real organizational challenges that require analytical and computational thinking—such as data analysis, modeling, forecasting, optimization, and decision-support tools. Projects are defined by your priorities, ensuring the work directly supports your operations or strategy.
FAQ
What Partners ask us most
We’re here for the follow-up questions too—reach out to our team.
How does the co-funding model work?
The internship is co-funded between AIMS and the host organization. Together, we assess the overall cost of the internship, after which the organization indicates its available budget. AIMS then works to cover the remaining portion where feasible, making the model flexible and accessible while ensuring meaningful engagement for both parties.
What kind of support does AIMS provide during the internship?
AIMS provides structured academic support throughout the internship. Each student is assigned an AIMS supervisor (a senior scientist) for technical guidance, as well as a tutor who ensures regular weekly check-ins and progress tracking. This allows organizations to benefit from high-level oversight without added management burden.
Is this an academic or professional internship?
These are best described as pseudo-professional internships. While part of an academic programme, the focus is on your organization’s priorities. Students are embedded to work on real challenges—not predefined academic research—while AIMS provides structured academic oversight.
Can organizations hire interns after the programme?
Yes. Organizations are free to hire interns after the internship. Once the six-month placement is completed, students can immediately transition into full-time roles without any obligation to return to campus.
What kind of projects can interns work on?
Interns work on projects that require strong analytical and computational thinking. This includes data analysis, modeling, forecasting, optimization, machine learning, and decision-support tools—always aligned with the organization’s operational or strategic priorities.
How are internship projects defined?
Projects are co-designed between AIMS and the host organization before the internship begins. This ensures clarity of scope, alignment with your priorities, and that the student’s skills are effectively matched to the problem.
What kind of problems can AIMS interns solve within an organization?
AIMS interns work on real organizational challenges that require analytical and computational thinking—such as data analysis, modeling, forecasting, optimization, and decision-support tools. Projects are defined by your priorities, ensuring the work directly supports your operations or strategy.
FAQ
What Partners ask us most
We’re here for the follow-up questions too—reach out to our team.
How does the co-funding model work?
The internship is co-funded between AIMS and the host organization. Together, we assess the overall cost of the internship, after which the organization indicates its available budget. AIMS then works to cover the remaining portion where feasible, making the model flexible and accessible while ensuring meaningful engagement for both parties.
What kind of support does AIMS provide during the internship?
AIMS provides structured academic support throughout the internship. Each student is assigned an AIMS supervisor (a senior scientist) for technical guidance, as well as a tutor who ensures regular weekly check-ins and progress tracking. This allows organizations to benefit from high-level oversight without added management burden.
Is this an academic or professional internship?
These are best described as pseudo-professional internships. While part of an academic programme, the focus is on your organization’s priorities. Students are embedded to work on real challenges—not predefined academic research—while AIMS provides structured academic oversight.
Can organizations hire interns after the programme?
Yes. Organizations are free to hire interns after the internship. Once the six-month placement is completed, students can immediately transition into full-time roles without any obligation to return to campus.
What kind of projects can interns work on?
Interns work on projects that require strong analytical and computational thinking. This includes data analysis, modeling, forecasting, optimization, machine learning, and decision-support tools—always aligned with the organization’s operational or strategic priorities.
How are internship projects defined?
Projects are co-designed between AIMS and the host organization before the internship begins. This ensures clarity of scope, alignment with your priorities, and that the student’s skills are effectively matched to the problem.
What kind of problems can AIMS interns solve within an organization?
AIMS interns work on real organizational challenges that require analytical and computational thinking—such as data analysis, modeling, forecasting, optimization, and decision-support tools. Projects are defined by your priorities, ensuring the work directly supports your operations or strategy.

