Statistics Applied to Economy

Undergraduate

Overview Modules Staff profiles

Program's Overview

The programme of statistics Applied to Economy started at INES-Ruhengeri in 2010

This program was designed to produce competent graduates’ executives on the job market who are capable of designing, coordinating researching, providing technical advisors or continuing further studies in their area of specialization. Both females and males, who are able to apply statistical knowledge in understanding and evaluating economic events. It is emphasized that students study major subjects in the field of mathematics, statistics and economics. Great emphasis is put at encouraging participation of both females and males with a particular attention accorded to female students given that general trend of their performance tend to be lower than of their males’ counterparts. These will contribute in achieving the major purpose of establishing empirical link between the three fields, using case studies and project based approaches. Currently the department runs a four-years program where graduates are expected to graduate with bachelor in statistics applied to economy.

Entry Requirements

Combinations: . PCM: Physics - Chemistry – Mathematics;
· MPG: Mathematics - Physics - Geography
· MPC: Mathematics – Physics - Computer Sciences
· PEM: Physics – Economics - Mathematics
· MEG: Mathematics - Economics - Geography
· MCB: Mathematics - Chemistry - Biology,
· MPB: Mathematics-Physics-Biology,
· MCE: Mathematics-Computer Science-Economics,
· TTC/Science & Math Option,
A prospective student to enroll in the first year in Bachelors of Science with Honors in Statistics Applied to Economy must have successfully completed secondary school level at least 2 principal pass and having majored at least in the above combinations
Required documents: Identification Card (ID card)
Secondary school Diploma
Passport photo
Transcripts
And any other related discipline where Mathematics is taught at least 3 hours per week may apply for this option.

Exit and Career Profile

Graduates possess a comprehensive understanding in Mathematics, Statistics, Micro economy, Macro economy, Public Finance, Management and accounting.

Analysis and interpretation of statistical information collected and draw conclusions, writing surveys reports, scanning an environment and draw opportunity for the creation of a business.

Using statistical software (SPSS, E-Views, STATA, R) to describe socio-economic phenomena and to predict their evolution in future, managing surveying activities.

Career Profile: With knowledge, skills and attitudes, the graduates can competently perform as: Statistician data manager (in Enterprises and public organisms, Banks, Offices of consultancy,), data base development expert, Data analyst, Research methodology designer, planner, controller and coordinator in research centres, advisor in statistics (presentation, interpretation) management.

Contacts of the Head of Department

Names: Dr. UWILINGIYIMANA Charline

E-mail: ucharline@ines.ac.rw

Tel: +250788284814

Offered Modules

Year 1

N^o	Module Title	N^o of credits	Semester
1	Languages I	10	1
2	Philosophical studies	10
3	Research Skills	10
4	Mathematical Analysis I	10
5	Introduction to Statistics	10
6	Algebra	15
1	Principals of Economics	15	2
2	Accounting	15
3	Management	10
4	Probability Theory	15

Year 2

N^o	Module Title	N^o of credits	Semester
1	Inferential Statistics	15	1
2	Applied Statistical computing	15
3	Mathematical analysis II	15
4	Introduction to Demography	10
5	Languages II	10
1	Introduction to Programming	15	2
2	Introduction to Official Statistics	10
3	Econometrics I	10
4	Sampling Methods	15
5	Intermediate Economics	15

Year 3

N^o	Module Title	N^o of credits	Semester
1	System of National Accounts	15	1
2	Development Economics	15
3	Stochastic Processes and Time series	15
4	Research Methodology	10
1	Advanced economics	15	2
2	GIS and Spatial Statistics	10
3	Project Planning and Management	10
4	Operation Research	10
5	Internship	15

Year 4

N^o	Module Title	N^o of credits	Semester
1	Monitoring and Evaluation	10	1
2	Economics and Social Statistics	10
3	Entrepreneurship	10
4	Multivariate Analysis	15
5	Advanced Econometrics	15
1	Internship	15	2
2	Dissertation	15	2

Names	Qualification	Rank	Area of specialization	Bio
Dr. UWILINGIYIMANA Charline	PhD	DVCAR/Senior Lecturer	Statistics and Probability
Dr. KARAMA Alphonse	PhD	Lecturer	Agricultural statistics
Mr. NZAMWITA Vénuste	Msc	Lecturer	Mathematics	View Profile
Dr. HAGENIMANA Emmanuel	PhD	Dean/Senior Lecturer	Probability Theory and Mathematical Statistics
Mr. IZERIMANA Lambert	Msc	Assistant Lecturer	Official Statistics	View Profile