Applied Statistics and Planning

Program Descriptions

The Bachelor of applied Statistics and Planning at the Faculty of Economics is a five-year tri-
semester undergraduate program designed to develop highly skilled professionals in statistical
analysis, quantitative research, and data-driven planning. The program combines strong
mathematical foundations, statistical theory, computational techniques, and applied problem-
solving to prepare graduates for dynamic careers in industry, government, research, and
development sectors.

Students study core subjects such as descriptive statistics, probability, calculus, and linear algebra,
followed by advanced topics including regression analysis, econometrics, multivariate methods,
time series, stochastic processes, demography, survey design, monitoring and evaluation, and

project planning. These topics are reinforced through hands-on training in statistical software such
as SPSS, Stata, R, and Excel, as well as coursework in programming and data management –
ensuring graduates are proficient in modern computational and analytical techniques.

Background and Rationale

2.1 Context

Somalia occupies a critical position in which statistics and planning are essential for economic recovery, good governance, job creation, and sustainable development. The Somali government, NGOs, and private sector increasingly demand accurate data analysis, economic modeling, and evidence-based planning. However, there is a shortage of structured programs producing skilled statisticians and planners capable of addressing these needs.

 2.2 Rationale

Evidence-Based Development: Somalia’s development policies require reliable data and statistical expertise. Youth Empowerment: With 70% of the Somali population under 30, it is critical to build a skilled workforce in data-driven decision-making. Labor Market Demand: Expanding opportunities for statisticians in government, NGOs, financial institutions, healthcare, and private sector data analytics.

Policy Alignment: The program is aligned with Somalia’s NDP-9, Agenda 2063, and the SDGs.

University Strategy: SIMAD University emphasizes scientific research, innovation, and digital transformation as fundamental pillars.

Mode of Study

  • Open & Distance Learning: (Online)
  • Tri-semester system: 3 semesters per academic year
  • Program Duration: 5 years

Program Objectives

The BSc in Statistics and Planning aims to:

  • Provide solid theoretical and practical training in statistics, mathematics, economics, and planning.
  • Equip graduates with strong analytical skills for solving real-world problems.
  • Train students to design, implement, and evaluate development projects.
  • Prepare graduates for advanced studies and research careers.
  • Promote ethical, professional, and socially responsible statistical practice in Somalia.

Program Learning Outcomes

Upon completion, graduates will be able to:

  • Apply the fundamental principles of business administration to management, finance, marketing, and operations.
  • Develop and evaluate entrepreneurial ventures and innovative business models.
  • Design thinking and creativity techniques have been used to solve real-world problems.
  • Demonstrate competence in SME management and scaling strategies.
  • Integrating Islamic finance and ethical considerations into entrepreneurial practices.
  • Communicate effectively, work in teams, and apply digital technologies in business.
  • Engaging in lifelong learning contributes to Somalia’s socioeconomic development.

 Career opportunities for Graduates

  • Government and Public Sector – Statisticians, planning officers, monitoring and evaluation specialists, and policy analysts.
  • NGOs and Development Agencies – Program evaluators, impact analysts, and development planners.
  • Corporate and Private Sector – Data analysts, risk managers, market researchers, and business intelligence officers.
  • Academic and Research Careers – Research assistants, lecturers, and data scientists.
  • Emerging Opportunities – Big data analytics, machine learning, agricultural forecasting, and health statistics.
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SUBJECT

Descriptions

1

Study Skills

Develops academic learning strategies, note-taking, and time management.

2

Arabic Language I & II

Builds reading, writing, and comprehension skills in Arabic.

3

Somali Studies

Explores Somali history, culture, and civic responsibility.

4

Islamic Studies I & II

Introduces Islamic principles, ethics, and economic dealings.

5

Communication Skills

Enhances oral and written professional communication.

6

Conflict Resolution

Provides strategies for managing personal, organizational, and social conflicts.

7

Critical Thinking

Enhances reasoning, argumentation, and decision-making skills.

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SUBJECT

Descriptions

1

Principles of Management

Covers planning, organizing, leadership, and organizational behavior.

2

Principles of Accounting I

Recording and analyzing financial transactions.

3

Microeconomics

Analyzes consumer behavior, production, and markets.

4

Macroeconomics

Examines national income, inflation, and government policy.

5

Development Economics

Studies economic growth, poverty, and development strategies.

6

Calculus I & II

Covers differentiation, integration, and applications in economics.

7

Linear Algebra I & II

Introduces vectors, matrices, determinants, and vector spaces.

8

Probability Theory I & II

Covers distributions, random variables, and advanced probability.

9

Differential Equations I

Studies first-order and higher-order equations.

10

Computer Applications & Tech

Practical training in IT and productivity tools.

11

Fundamentals of Computers

Introduces basic computer systems and digital literacy.

12

Database Management Systems

Principles of database design and queries.

13

Research Methodology

Scientific methods, data collection, and academic writing.

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SUBJECT

Descriptions

1

Descriptive Statistics

Introduces measures of central tendency, dispersion, and data presentation.

2

Inferential Statistics

Covers hypothesis testing, estimation, and probability distributions.

3

Data Analysis I & II

Applications of statistical software and intermediate analysis.

4

Regression Analysis

Techniques for modeling relationships between variables.

5

Nonparametric Statistics

Methods for analyzing data without parametric assumptions.

6

Sampling Theory & Survey Analysis

Techniques for survey design, sampling, and estimation.

7

Biostatistics

Statistical methods applied to health and biological sciences.

8

Econometrics

Application of statistics to economic models and forecasting.

9

Stochastic Processes

Random processes, Markov chains, and applications.

10

Statistical Quality Control

Monitoring and improving process quality.

11

Price Statistics

Techniques for constructing price indices and inflation analysis.

12

ANOVA & Experimental Design

Designs of experiments and variance analysis methods.

13

Demography

Statistical analysis of population trends and dynamics.

14

Operations Research

Mathematical modeling for optimization and decision-making.

15

Time Series & Index Numbers

Methods for analyzing time-dependent data and forecasting.

16

Agricultural Statistics

Applications in agriculture, food security, and rural development.

17

Categorical Data Analysis

Analysis of categorical and qualitative data.

18

Multivariate Analysis

Techniques for analyzing multiple variables simultaneously.

19

Automated Data Collection

Tools and methods for digital and automated data gathering.

20

Introduction to Data Science

Fundamentals of big data, machine learning, and analytics.

21

Sustainable Dev. & Enviro. Planning

Statistical applications in sustainability and planning.

22

Project Planning & Management

Principles of project design, execution, and evaluation.

23

Graduation Project

Capstone research project demonstrating applied knowledge.

Admission

Undergraduate Requirement

View Undergraduate Admission Requirement

Tution Fees

Affordable tuition fees with flexible plans, making quality education accessible for every learner

Online Payment Procedures

About Admission

At SIMAD Olearn, admission is simple, transparent, and learner-focused. We welcome students from diverse backgrounds and provide equal opportunities to access quality education. The process is straightforward  check your eligibility, submit your application, and secure your spot in our programs. With flexible tuition plans and continuous support, we make your learning journey smooth from admission to graduation.

Contact Admission Office

+252 61 5259826

Live Chat?

We are live on WhatsApp just chat with us and get instant feedback message chats to your needs.

FIRST TRIMESTER (I) SECOND TRIMESTER (II) THIRD TRIMESTER (III)
September, 2025
January, 2026
May, 2026

Semester 1:

September  To December

Semester 2:

January To April

Semester 2:

May To August

Staff

Our Academic staff

Shuaib Mursal Ibrahim

Bashir Mohamed Osman

Mohamud Hussein Mohamud

Farhia Mohamed Hassan

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