Department of Statistics Applied to Economy
Dr. Charline UWILINGIYIMANA
Head of the Department
Phone: 0788284814 & +22998653232 (WhatsApp)
Email: ucharline@ines.ac.rw
Department of Statistics Applied to Economy
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
- Linear Algebra, Calculus and its Applications, Proofs and Problem Solving, Several Variable Calculus and Differential Equations
- Microeconomics, Essentials of Econometrics, Linear Statistical Modelling, Statistical Communication Skills, Applications of Econometrics and Applied Macroeconomics.
- Economic development, economic analysis and public finance
Skills
- Collection, processing, compilation, dissemination, and analysis of economicdata
- 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.
- Managing surveying activities, writing survey reports and data visualization
- Planning, coordinating, and undertaking research.
- Managing data base in banks, public and private institutions
- Becoming statistical consultant and data analyst
- Designing and implementing survey
- Effectively communicate economic concepts to scientists in other disciplines and other stakeholders.
Attitude
- Self-responsibility, creativity and Solution minded
- accuracy, team-work and independency
- 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…)
Courses:
Level I
Module Code | Module title | Module content | Credits |
LAN 111 | Languages I |
| 10 |
PHI 112 | Philosophical Studies |
| 10 |
RES 113 | Research Skills |
| 15 |
ANA 114 | Analysis I |
| 10 |
ALG 115 | Algebra |
| 15 |
STA 121 | Descriptive Statistics |
| 20 |
ENS 122 | Enumerator Skills |
| 10 |
ECO 123 | Principles of Economics |
| 20 |
ACC 124 | Accounting I |
| 10 |
Total | 120 |
Level II
Module Code | Module title | Module content | Credits |
LAN 211 | Languages II |
| 10 |
MAT 212 | Analysis II |
| 20 |
PRO 213 | Probability |
| 20 |
ENT 214 | Entrepreneurship |
| 10 |
DEM 221 | Introduction to Demography |
| 20 |
ACC 222 | Accounting II |
| 10 |
ECO 223 | Economics |
| 20 |
ICT 224 | Computer I |
| 10 |
120 | |||
Total | |||
General average |
Level III & IV
Module Code | Module title | Module content | Credits |
MAT 311 | Operation Research | · Operational Research I · Numerical Analysis | 10 |
STAT 312 | Inferential Statistics | · Inferential Statistics | 10 |
SAM 313 | Sampling | · Sampling Methods · Survey Skills and Techniques · Conception and Practice of Survey | 20 |
RMS 314 | Research Methodology | · Research Methodology | 10 |
ACC 315 | Accounting III | · National Accounting | 10 |
AST 421 | Applied Statistics | · Social Statistics · Economic Statistics | 20 |
ICT 422 | Computer II | · Statistical Software (SPSS, Excel, TORA, EViews, STATA) · Statistical Practical II | 15 |
ECT 423 | Econometrics | · Econometrics I · Econometrics II | 15 |
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 | 10 | |
GRD 512 | Growth and Development | · Economic Development · International Economics · Project Design, Monitoring and Evaluation | 20 | |
STA 513 | Statistics IV | · Data Analysis · Time Series · Operational Research II | 20 | |
ECO 514 | Economics III | · Macroeconomic Models · Labor Economics | 10 | |
MAN 521 | Management | · Management · Financial Mathematics · Project management | 10 | |
ECO 522 | Economics IV | · Advanced Macroeconomics · Current Economic Analysis | 10 | |
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.