Data Science B.Sc

The Data Science B.Sc. program is designed to equip students with the skills and knowledge required to harness the power of data and drive data-driven decision-making. In today's digital age, data has become a valuable resource, and professionals who can effectively analyze and interpret data are in high demand across industries. This program provides a comprehensive understanding of data science concepts, techniques, and tools, enabling students to become proficient in data manipulation, data visualization, statistical analysis, machine learning, and predictive modeling. Through hands-on projects and real-world applications, students will develop the expertise to uncover insights, solve complex problems, and make informed decisions based on data.

Aim and Objectives: The aim of the Data Science B.Sc. program is to develop skilled and knowledgeable professionals who can effectively harness data to drive business and societal impact. The program is designed to achieve the following objectives:

1. Provide a Solid Foundation: The program aims to provide students with a solid foundation in data science principles, methodologies, and techniques. Students will develop a deep understanding of data collection, data management, data analysis, and data visualization, ensuring a comprehensive knowledge base to excel in the field.
2. Foster Analytical and Problem-Solving Skills: The program aims to cultivate strong analytical thinking and problem-solving skills in students. Through practical exercises, projects, and case studies, students will learn how to identify business challenges, formulate data-driven hypotheses, apply appropriate data science techniques, and derive meaningful insights to solve complex problems.
3. Develop Proficiency in Data Manipulation and Analysis: The program aims to equip students with the necessary skills to manipulate and analyze large and complex datasets. Students will learn various data manipulation techniques, programming languages, and statistical tools to extract valuable information, uncover patterns, and derive actionable insights from data.
4. Explore Machine Learning and Predictive Modeling: The program aims to familiarize students with machine learning algorithms, predictive modeling techniques, and data-driven modeling approaches. Students will gain hands-on experience in building and evaluating predictive models to make accurate predictions and forecasts based on data.
5. Enhance Communication and Visualization Skills: The program aims to develop students' ability to effectively communicate data-driven insights to stakeholders. Students will learn how to present complex data analysis results in a clear and concise manner using data visualization techniques and storytelling principles.

Learning Outcomes: By the end of the Data Science B.Sc. program, students will be able to:

1. Apply data science methodologies, tools, and techniques to solve complex business problems and make data-driven decisions.
2. Manipulate, preprocess, and analyze large and diverse datasets using appropriate programming languages, statistical methods, and machine learning algorithms.
3. Create insightful data visualizations that effectively communicate complex information and aid in decision-making.
4. Develop and evaluate predictive models to make accurate forecasts and predictions based on data.
5. Demonstrate strong analytical thinking, problem-solving skills, and the ability to apply data science concepts in real-world scenarios.
6. Work effectively in interdisciplinary teams, leveraging data science skills to contribute to collaborative projects and initiatives.
7. Stay abreast of emerging trends and advancements in the field of data science, continuously updating their knowledge and skills to adapt to evolving industry demands.

1. Original Waec, or Neco certificate
2. Online/computer print of waec with scratch card attached
3. Transcript from previous university
4. Jamb result (Optional)
5. Two passport photos
6. Valid form of identification: [international passport, Voter’s Card, NIN, etc…]
7. Birth Certificate or Local government ID

Careers in Data Science: for B.Sc. Graduates:

1. Data Scientist: Data scientists are responsible for collecting, analyzing, and interpreting large and complex datasets to extract valuable insights. They develop predictive models, create algorithms, and use statistical techniques to solve business problems and drive data-driven decision-making.
2. Data Analyst: Data analysts focus on collecting, cleaning, and organizing data to uncover patterns, trends, and correlations. They perform exploratory data analysis, create visualizations, and provide actionable insights to support business strategies and decision-making processes.
3. Machine Learning Engineer: Machine learning engineers build and deploy machine learning models and algorithms to automate processes, improve efficiency, and develop innovative solutions. They work on developing and optimizing algorithms, implementing model training pipelines, and integrating machine learning solutions into software systems.
4. Business Intelligence Analyst: Business intelligence analysts collect and analyze data to provide insights and support strategic business decisions. They create dashboards, perform data mining, and develop reports that help organizations understand market trends, customer behavior, and business performance.
5. Data Engineer: Data engineers design, build, and maintain the systems and infrastructure needed to collect, store, and process large datasets. They develop data pipelines, ensure data quality and integrity, and optimize databases to support data analysis and decision-making.
6. Data Architect: Data architects design and manage the overall structure and organization of data within an organization. They develop data models, design data warehouses, and ensure data integration and consistency across systems. They work closely with data engineers and data scientists to ensure efficient data management.
7. Data Visualization Specialist: Data visualization specialists create visually appealing and informative visual representations of data. They use tools like Tableau, Power BI, or Python libraries to create interactive dashboards, infographics, and charts that effectively communicate complex data insights to stakeholders.
8. Data Product Manager: Data product managers identify market opportunities, define data-driven product strategies, and oversee the development and launch of data-related products. They collaborate with cross-functional teams to ensure the alignment of product goals with customer needs and business objectives.
9. Data Consultant: Data consultants provide expert advice and guidance to organizations on leveraging data to solve specific business challenges. They assess data needs, develop data strategies, and provide recommendations on data-driven solutions to improve efficiency, drive innovation, and achieve business goals.
10. Research Scientist: Research scientists focus on conducting in-depth research and developing new methodologies in the field of data science. They work in academia, research institutions, or industry research labs, contributing to advancements in data science techniques, algorithms, and applications.

The program cost at Yonevas Open University typically includes tuition fees, administrative fees, and access to digital learning resources. These resources includes course materials, online libraries, and other digital platforms that support the learning process. The cost structure may vary depending on the specific program and its duration.

Program length	Medium	Est. Cost	Begin/Term	Award Offered
8 semesters	Virtual	#84,000	Sept./Feb	Bachelors