UR Main Website     UR Centers      Students Portal       Webmail

ACE-DS

PhD by Research in Data Science

The PhD by Research (Data Science) provides an opportunity for students who wish to  undertake an individual real-world big-data research project; you can choose a project area from a wide variety of interdisciplinary domains, including Biostatistics, Data Mining, econometrics, Actuarial Sciences, and Demography.

Current PhD Research Topics

  CANDIDATE'S NAMES RESEARCH TOPIC TITLE
1

AGABA SAMUEL BAKEHENA

Predicting consumer credit risk in micro-credit markets in Uganda

2

AMBO AMANDURE JEAN MEDARD

Inter- and intra-urban travel behavior analysis in Rwanda  based on data mining  techniques

3

BATAMULIZA JENNIFER

Detecting theft of Electricity Using Clustering And Giving Anonymity to Smart Meters For Privacy Preserving In Smart Grids

4

DUKUNDE ANGELIQUE

Markov chain Monte Carlo methods for predicting diabetes and hypertension in Rwanda

5

HABIMANA DOMINIQUE

Non-experimental panel econometric methods for impact evaluation of Rwanda vision 2020 Umurenge  programe

6

KASAHUN TAKELE GENETI

Bayesian Spatial Models with Application to Child Malnutrition, Mortality and Tuberculosis  

7

KEMBOI NELSON YEGO

Determinants of Financial Performance of Insurers in Kenya using Machine Learning Algorithms

8

MUGEMANGANGOCYPRIEN

Modeling growth curves for the children under five years of age

9

MUKARUKUNDO JOSETTE

Secure e-learning using data mining techniques

10

MUKESHIMANA SOLANGE

The empirical study of the relationship between economic growth(GDP) and labor market efficiency(Employment creation) in Rwanda

11

MUREMYI ROGER

Survival Analysis of Breast Cancer in Rwanda: Rwinkwavu and Butaro Hospitals from 2012 to 2017

12

MUTAI CHARLES K.

Machine Learning for Population Health Outcomes Prediction

13

NABASUMBA SUSAN

Disparities in Reproductive Health Among Adults and Their Impact on Child Health in Uganda and Rwanda: Empirical Analysis of DHS Data

14

NDAYAMBAJE FELIX 

Mathematical optimization methods in portfolio analysis of insurance companies

15

NDIKUBWIMANA JEAN BOSCO

Interval Valued Time Series Models of Capital Market Exchange:RSE & NSE

16

NKURUNZIZA FABRICE

Rwanda household consumption behavior and economic shocks. An empirical study

17

NZASINGIZIMANA THARCISSE

An exploration of the determinants of deposit and lending interest rates in Rwanda, 1975-2017: An econometric approach

18

RIZINDE THEOGENE

Disease classification and prediction using methods from data-mining and Machine Learning literature: a case study of heart failure subtypes in Rwanda district hospitals

19

SEMAKULA MUHAMMED

Spatio-Temporal and statistical prediction models of human infectious diseases in East African countries

20

SEZI JULIUS AMIINA

Modelling the Survival estimation of Patients with emerging infectious diseases and Transmission: A case study of yellow fever severity spectrum in the great lakes basin.

21 UWIZERA DAVY Application of Machine Learning in Real Time GDP Direction Monitoring and Forecasting in Kigali, Rwanda:Assessing the relationship between income and multidimensional variables using structured and unstructured data
22 SIBOMANA OSCAR

Effectiveness of household enterprise diversification on poverty reduction and off-farm employment expansion: Evidence from household living conditions