Masters of Business Administration in Management- Financial Management
The MBA in Management at Berkeley College is structured to prepare students for senior ...
B.S. in Business Data Science
Woodland Park, New Jersey
INTAKE: Jan, April & Sept
Program Overview
This program focuses on developing essential skills in analyzing large datasets, data mining, and programming, alongside proficiency in cutting-edge technologies like Artificial Intelligence. It aims to empower students to derive actionable insights from complex data, ultimately shaping business strategies and predictions. The program offers two distinct concentrations: Business Analytics and Artificial Intelligence, allowing students to specialize in areas aligned with their career aspirations, such as Business Intelligence (BI) Developer or Data Scientist.
Curriculum: The curriculum for the B.S. in Business Data Science is application-focused and technologically advanced. Students will delve into core courses covering areas such as Storytelling with Data, Artificial Intelligence, Machine Learning, Programming for Computer Science and Data Science, and SQL and Managing Data. The program also integrates essential business principles and strong mathematical foundations, including courses like College Algebra, Probability Statistics and Applied Regression, and Applications of Calculus. Furthermore, the curriculum emphasizes the development of critical thinking, problem-solving, and communication skills, which are crucial for success in data-driven roles.
Research Focus: While Berkeley College's programs generally lean towards practical application, the B.S. in Business Data Science implicitly incorporates a research-oriented approach by teaching students how to analyze data for practical insights, identify patterns and trends, and make data-driven predictions. Students are trained to collect, transform, and analyze raw data, searching for patterns and trends that can benefit businesses. This involves understanding and applying statistical and computational methods, and often engaging in projects that mimic real-world data challenges, thus fostering a practical research mindset aimed at solving business problems.
Industry Engagement: Berkeley College prioritizes industry engagement to enhance the relevance and effectiveness of its programs. The Business Data Science program benefits from instructors with professional experience in the field, ensuring that the curriculum remains aligned with current industry demands. Students may have opportunities to participate in internships or job-related assignments, providing invaluable real-world experience and networking opportunities. The college's focus on applying knowledge to real-world business issues, combined with connections through faculty and alumni, helps prepare students for successful careers.
Global Perspective: The skills acquired in the B.S. in Business Data Science program are highly transferable and applicable in a global context. The principles of data analysis, artificial intelligence, and business intelligence are universally sought after across various industries worldwide. The program's emphasis on critical thinking and problem-solving through data equips graduates to analyze diverse datasets from different markets and cultures, making them valuable assets in multinational corporations or global organizations. While specific global studies courses might vary, the foundational nature of data science itself inherently provides a global perspective on business challenges and opportunities.
Location
Woodland Park, New Jersey
Score
IELTS 6
Tuition Fee
USD 28900
Undergraduate Entry Requirements
Application Fee: $50
Academic Qualifications: Applicants for undergraduate programs typically require a minimum academic achievement of 70% or above in their previous academic qualifications.
English Language Proficiency:
- IELTS: Overall band score of 6.0 or 6.5 with a minimum of 6.0 in each component.
- TOEFL: Overall score of 61 or higher.
- PTE: Overall score of 43 or higher.
- DET (Duolingo English Test): Minimum score of 100.
Berkeley College offers a variety of scholarship opportunities specifically designed to support international students in their academic journey. These scholarships aim to recognize academic excellence, leadership qualities, and the potential for professional success, helping to reduce the financial burden of higher education.
Merit-Based Scholarships: Berkeley College awards merit scholarships to international students who demonstrate outstanding academic performance. These scholarships are often renewable each year, provided the student maintains a strong GPA and continues to meet eligibility criteria.
Need-Based Financial Aid: While most financial aid programs in the U.S. are limited for international students, Berkeley College offers some need-based assistance and payment plans to help manage tuition fees. Prospective students are encouraged to contact the Financial Aid Office for personalized support options.
Special Program Scholarships: Certain academic programs or departments at Berkeley College may offer dedicated scholarships or grants for students enrolling in specific career-focused fields such as business, healthcare, or technology. These scholarships reward students pursuing in-demand professions.
International Student Ambassador Scholarships: Berkeley College occasionally provides scholarships to international students who actively participate in campus leadership or ambassador roles. These scholarships support students who promote cultural diversity and help new international students acclimate to college life.
Graduates with a B.S. in Business Data Science from Berkeley College are well-positioned for a variety of in-demand roles in an increasingly data-driven economy.
Data Analyst: Collects, cleans, and interprets data sets to identify trends and insights, then presents these findings to support business decisions.
Business Intelligence (BI) Developer: Designs, develops, and maintains business intelligence solutions, such as dashboards, reports, and data models, to help organizations make informed decisions.
Data Scientist: Employs advanced statistical and machine learning techniques to analyze complex datasets, build predictive models, and provide strategic recommendations.
Machine Learning Engineer: Designs, builds, and deploys machine learning models and systems, often working on projects involving AI applications, predictive analytics, and automation.
Analytics Consultant: Works with clients across various industries to understand their business problems and provide data-driven solutions and strategies.
Operations Research Analyst: Uses advanced analytical methods to improve efficiency, optimize processes, and solve complex problems in areas like logistics, scheduling, and resource allocation.
Database Architect/Developer: Designs, implements, and maintains database systems that store and organize large amounts of data, ensuring data integrity and accessibility.
Marketing Analyst: Utilizes data to understand consumer behavior, measure campaign effectiveness, identify market trends, and optimize marketing strategies.
Financial Data Analyst: Applies data science techniques to financial data for risk assessment, fraud detection, investment analysis, and market forecasting.
Product Analyst: Works with product development teams to analyze user data, identify opportunities for product improvement, and inform product strategy based on data insights.
