Data Science & Analytic
About Program
BSc. Data Science & Analytics is a dynamic program that focuses on the extraction of insights from large and complex datasets. Students will learn statistical analysis, machine learning, data visualization, and predictive modeling. This course prepares individuals to harness the power of data for informed decision-making, enabling them to interpret patterns, trends, and correlations to drive strategic business decisions.
What You will study
ADMISSION REQUIREMENTS
The minimum admission requirements to study Bsc. Data Science & Analytics in Al-Muhibbah Open University is:
- 100 Level:
- Five ‘O’ level credits (WASCE, NECO, GCE or its equivalent) in English Language, Mathematics, Chemistry, Physics, and any other two science-based subjects.
- 200 Level (Direct Entry):
- Two Advanced Level credit passes and two of which must be in the following subjects: Mathematics, English, Physics, Chemistry, Additional Mathematics, and Economics,
- Credit pass in NCE or ND in relevant subjects.
CURRICULUM
100 Level - First Semester
S/No |
Course Code |
Course Title |
Unit(s) |
Status |
1 |
GST 111 |
Communication in English |
2 |
C |
2 |
MTH 101 |
Elementary Mathematics I |
2 |
C |
3 |
PHY 101 |
General Physics I |
2 |
C |
4 |
PHY 107 |
General Practical Physics I |
1 |
C |
5 |
STA 111 |
Descriptive Statistics |
3 |
C |
6 |
COS 101 |
Introduction to Computing Sciences |
3 |
C |
7 |
MTH 103 |
Linear Algebra |
3 |
C |
|
|
TOTAL |
21 |
|
100 Level - Second Semester
S/No |
Course Code |
Course Title |
Unit(s) |
Status |
1 |
GST 112 |
Nigerian Peoples and Culture |
2 |
C |
2 |
MTH 102 |
Elementary Mathematics II |
2 |
C |
3 |
PHY 102 |
General Physics II |
2 |
C |
4 |
PHY 108 |
General Practical Physics II |
1 |
C |
5 |
COS 102 |
Problem Solving |
2 |
C |
6 |
MTH 104 |
Fundamental Calculus |
3 |
C |
7 |
MTH 106 |
Probability Models for Data |
3 |
C |
200 Level - First Semester
S/No |
Course Code |
Course Title |
Unit(s) |
Status |
1 |
MTH 201 |
Mathematical Methods I |
2 |
C |
2 |
ENT 211 |
Entrepreneurship and Innovation |
2 |
C |
3 |
COS 201 |
Computer Programming I |
3 |
C |
4 |
MTH 203 |
Sets, Logic and Algebra I |
2 |
C |
5 |
MTH 209 |
Introduction to Numerical Analysis |
2 |
C |
6 |
DTS 201 |
Introduction to Data Science |
2 |
C |
7 |
DTS 211 |
Introduction to R Programming |
2 |
C |
8 |
DTS 299 |
SIWES I |
3 |
C |
9 |
CSC 203 |
Discrete Structures |
2 |
C |
200 Level - Second Semester
S/No |
Course Code |
Course Title |
Unit(s) |
Status |
1 |
COS 202 |
Computer Programming II |
3 |
C |
2 |
GST 212 |
Philosophy, Logic and Human Existence |
2 |
C |
3 |
DTS 204 |
Statistical Computing Inference and Modelling |
3 |
C |
4 |
CYB 206 |
Internet of Things |
2 |
C |
5 |
DTS 202 |
Computer Organization & Architecture |
2 |
C |
6 |
DTS 206 |
Data Structures and Algorithm |
3 |
C |
7 |
DTS 208 |
Tools and Techniques for Data Science |
2 |
C |
300 Level - First Semester
S/No |
Course Code |
Course Title |
Unit(s) |
Status |
1 |
CYB 201 |
Introduction to Cybersecurity and Strategy |
2 |
C |
2 |
CSC 309 |
Artificial Intelligence |
2 |
C |
3 |
DTS 301 |
Python for Data Science |
2 |
C |
4 |
DTS 303 |
Business Analytics |
2 |
C |
5 |
DTS 305/td>
| Data Wrangling with Python |
2 |
C |
6 |
DTS 307 |
Internet Technology |
2 |
C |
7 |
DTS 309 |
Software Engineering |
2 |
E |
8 |
DTS 311 |
Regression and Time Series Analysis |
2 |
E |
9 |
DTS 399 |
SIWES II |
3 |
C |
300 Level - Second Semester
S/No |
Course Code |
Course Title |
Unit(s) |
Status |
1 |
GST 312 |
Peace and Conflict Resolution |
2 |
C |
2 |
ENT 312 |
Venture Creation |
2 |
C |
3 |
DTS 302 |
Big Data Computing |
2 |
C |
4 |
DTS 304 |
Data Management I |
3 |
C |
5 |
DTS 308 |
Ethics and Legal Issues in Data Science |
2 |
C |
6 |
DTS 316 |
Probability for Data Science |
3 |
C |
7 |
DTS 322 |
Data Science Innovation and Entrepreneurship |
2 |
E |
400 Level - First Semester
S/No |
Course Code |
Course Title |
Unit(s) |
Status |
1 |
DTS 401 |
Deep Learning |
2 |
C |
2 |
DTS 403 |
Big Data Analytics |
2 |
C |
3 |
DTS 405 |
Data Handling and Visualization |
2 |
C |
4 |
DTS 407 |
Cloud Computing |
2 |
E |
5 |
DTS 409 |
Simulation and Modelling |
2 |
E |
6 |
DTS 403 |
Data Visualisation for Data-driven Decision Making |
2 |
C |
7 |
DTS 497 |
Final Year Project I |
3 |
C |
8 |
COS 409 |
Research Methodology & Technical Report Writing |
2 |
C |
9 |
INS 401 |
Project Management |
2 |
C |
400 Level - Second Semester
S/No |
Course Code |
Course Title |
Unit(s) |
Status |
1 |
DTS 404 |
Machine Learning |
2 |
C |
2 |
DTS 406 |
Data Security and Privacy |
2 |
C |
3 |
DTS 408 |
Data Warehousing and Multidimensional Modeling |
2 |
C |
4 |
DTS 410 |
Exploratory Data Analysis |
2 |
C |
5 |
DTS 412 |
Natural Language Processing |
2 |
C |
6 |
DTS 406 |
Machine Learning Systems Design |
2 |
C |
7 |
DTS 408 |
Computer Security |
2 |
E |
8 |
DTS 498 |
Final Year Project II |
3 |
C |