FBSU

Program Mission

Our mission is to equip students with a robust foundation in statistical analysis, machine learning, and data manipulation. We aim to foster a deep understanding of data-driven decision-making, preparing our graduates to thrive in diverse industries. Through hands-on projects, collaboration, and exposure to real-world challenges, we strive to cultivate analytical thinkers who can leverage data to drive innovation, solve complex problems, and make informed decisions. Our commitment is to empower students with the skills and mindset needed to excel in the dynamic and rapidly evolving field of Data Science.

Program Objectives

(a) Provide students with a solid grounding in programming languages such as Python and R, along with essential tools for effective data analysis and visualization.

(b) Ensure that students master statistical methods, probability theory, and mathematical modeling, enabling them to derive meaningful insights from data.

(c) Equip students with the knowledge and skills necessary to apply a diverse set of machine-learning algorithms, facilitating expertise in predictive modeling, classification, and clustering.

(d) Train students in the techniques of data cleaning, preprocessing, and transformation, empowering them to effectively manage diverse and complex datasets.

(e) Foster a culture of critical thinking, problem-solving, and creative approaches to tackle real-world challenges using data-driven methodologies.

(f) Develop strong communication skills, enabling students to articulate complex findings clearly and comprehensibly to diverse audiences.

(g) Provide opportunities for hands-on projects, internships, and collaborations with industry, ensuring students gain practical experience and are well-prepared for the workplace.

(h) Emphasize the importance of ethical considerations, including privacy, bias mitigation, and responsible data use in the field of data science.

(i) Foster a commitment to continuous learning and staying current with emerging trends and technologies in the ever-evolving field of Data Science.

(j) Support students in building a professional network, preparing for job interviews, and gaining insights into various career paths within the dynamic field of Data Science.

Career Opportunities

Based on specific, precise, and set requirements of the BA in Data Science, the primary and most important jobs for graduate in the program are:

(a) Statistics and Analysis Institutions.
(b) E-Marketing Organizations.
(c) Insurance Organizations.
(d) Health Institutions.
(e) Social Media Organizations.
(f)   Professional Services Organizations.
(g) Businesses and startups.
(h) Pharmaceutical Organizations.
(i)    Information Technology Organizations.
(j)   Educational and Research Institution

Learning Outcomes

Knowledge and understanding
K1		Proficiency in programming languages (e.g., Python, R) and relevant tools for effective data analysis and visualization.
K2		Solid grasp of statistical methods, probability theory, and mathematical modeling to extract meaningful insights from data.
K3		Knowledge and application of various machine learning algorithms for tasks such as predictive modeling, classification, and clustering.
Skills
S1	Ability to approach problems critically, analyze data, and devise creative solutions using data-driven methodologies.
S2	Strong communication skills, enabling the clear and concise presentation of complex findings to diverse audiences.
S3	Hands-on experience through projects, internships, and collaborations, providing real-world application of learned concepts.
Values, Autonomy, and Responsibility
V1	Commitment to ethical considerations in data science, including privacy, fairness, and responsible data handling.
V2	Emphasis on collaborative work, fostering effective teamwork and communication skills in a data science context.