Statistics Applied to Economy

Bachelors of Science with Honors in Statistics Applied to Economy


Head of the Department

 Phone: 0788284814 & +22998653232 (WhatsApp)



The department of Statistics Applied to Economy is one of six departments of the Faculty of Applied Fundamental Sciences. Currently the department runs a four year program.


 Department of Statistics Applied to Economy

Is a joint programme which complements the basic grounding in and applications of statistical techniques which is provided within the economics programme, with a more thorough and rigorous development of statistical principles.

Having successfully completed the program of Bachelors of Science with Honors in Statistics Applied to Economy, you will be developing the following knowledge, skills and attitudes:

  • Knowledge
  1. Linear Algebra, Calculus and its Applications, Proofs and Problem Solving, Several Variable Calculus and Differential Equations
  2. Microeconomics, Essentials of Econometrics, Linear Statistical Modelling, Statistical Communication Skills, Applications of Econometrics and Applied Macroeconomics.
  3. Economic development, economic analysis and public finance
  • Skills
  1. Collection, processing, compilation, dissemination, and analysis of economicdata
  2. Use and practical skills in statistical software (Eviews, SPSS, R-studio, Excel, Access, STATA, SAS.. ) to describe socio-economic phenomena and to predict/ forecast their evolution in the future.
  3. Managing surveying activities, writing survey reports and data visualization
  4. Planning, coordinating, and undertaking research.
  5. Managing data base in banks, public and private institutions
  6. Becoming statistical consultant and data analyst
  7. Designing and implementing survey
  8. Effectively communicate economic concepts to scientists in other disciplines and other stakeholders.
  • Attitude
  1. Self-responsibility, creativity and Solution minded
  2. accuracy, team-work and independency
  3. Honest, Humility and Sociability

 Entry profile

Diploma either in any option that has Mathematics in its combinations with at least 2 principal passes or Diploma in any option where Mathematics is taught at least 3 hours per week with also at least 2 principal passes.

 Where will you study?

Teaching takes place across the campus (DALTON, POISSON, KEPLER…) you will have access to University’s library (Both physical library and digital library-Scholar Vox) and computer labs.

How will you learn?

Courses are taught through a combination of lectures, seminars, tutorials, workshops and web-based learning, we have very competitive lecturers and experienced

How will you be assessed?

You will be assessed by Continuous assessment tests, exams, coursework, project reports, internship reports and presentations. In your last year you will complete a dissertation.

 Career opportunities

Our graduates are highly regarded by employers.

The skills you learn during your programme will equip you for careers in Statistics, Economics, accountancy, business, management and consultancy, NGOs or government departments.

Many previous graduates have entered the Government sector, Banking sector, finance sector and Transport sector.

Places where our graduates are working

NISR (Department of economic statistics, Statistical methods, Research and publication department, Social and demographic Statistics department), BNR (Statistics department), Banks (Banque populaire du Rwanda, EQUITY Bank), Government institutions (LODA, RSSB, Executive of Districts, Data managers in Districts  …), RRA (Planning and research department, Finance department), Ministries (MINECOFIN, MINEACOM…)



Level I

Module Code Module title Module content Credits
LAN 111 Languages I
  • Oral communication in English
  • Technique d’expression orale et écrite
PHI 112 Philosophical Studies
  • Introduction to Philosophy
  • Ethics and Rwandese Culture
RES 113 Research Skills
  • Introduction to ICT
  • Research Methods
ANA 114 Analysis I
  • Mathematical Analysis
ALG 115 Algebra
  • Linear Algebra
  • Analytical Geometry
STA 121 Descriptive Statistics
  • Descriptive Statistics
  • History of Statistics
ENS 122 Enumerator Skills
  • Enumerator Skills
  • Public Statistics
ECO 123 Principles of Economics
  • Introduction to microeconomics
  • Introduction to macroeconomics
ACC 124 Accounting I
  • General Accounting
Total 120

Level II

Module Code Module title Module content Credits
LAN 211 Languages II
  • Oral communication in English
  • Technique d’expression orale et écrite
MAT 212 Analysis II
  • Functions of Several Variables
  • Function of Complex variables
  • Ordinary differential Equations
PRO 213 Probability
  • Probability Theory
  • Probability Distributions
ENT 214 Entrepreneurship
  • Entrepreneurship
DEM 221 Introduction to Demography
  • Introduction to Demography
  • GIS
ACC 222 Accounting II
  • Managerial Accounting
ECO 223 Economics
  • Microeconomics
  • Macroeconomics
  • Geo-economics
ICT 224 Computer I
  • Computer Programming C++
General average

Level III & IV

Module Code Module title Module content Credits
MAT 311 Operation Research ·         Operational Research I

·         Numerical Analysis

STAT 312 Inferential Statistics ·         Inferential Statistics 10
SAM 313 Sampling ·         Sampling Methods

·         Survey Skills and Techniques

·         Conception and Practice of Survey

RMS 314 Research Methodology ·         Research Methodology 10
ACC 315 Accounting III ·         National Accounting 10
AST 421 Applied Statistics ·         Social Statistics

·         Economic Statistics

ICT 422 Computer II ·         Statistical Software (SPSS, Excel, TORA, EViews, STATA)

·         Statistical Practical II

ECT 423 Econometrics ·         Econometrics I

·         Econometrics II

INT 424 Internship ·         Internship 10
Total 120
General average

Level V

Module Code Module title Module content Credits
PFI 511 Public Finance ·     Public Finance

·     Projects Analysis and Planning

GRD 512 Growth and Development ·     Economic Development

·     International Economics

·     Project Design, Monitoring and Evaluation

STA 513 Statistics IV ·     Data Analysis

·     Time Series

·     Operational Research II

ECO 514 Economics III ·     Macroeconomic Models

·     Labor Economics

MAN 521 Management ·     Management

·     Financial Mathematics

·     Project management

ECO 522 Economics IV ·     Advanced Macroeconomics

·     Current Economic Analysis

INT 523 Internship ·     Internship 20
DIS 524 Dissertation ·     Dissertation 20
MOE 525 Monetary Economics ·     Money and Banking

·     Financial Management

No Creditable
PRB 526 Professional Behaviour ·     Introduction to the law

·     General sociology

·     Statistical deontology

No Creditable
Total 120
General average

Degree awards

At the completion of accredited courses, the graduates are awarded an Bachelors in Statistics Applied to Economy.

Other short courses

In accordance with the policy of the Rwandan government and the real need of reliable statistics the Department with its stakeholders will organize workshops, training, short courses for workers from public and private institutions in order to improve on the quality of statistics in the country.