Business Data Science Program

Business Intelligence Analysts analyze data that is used by businesses and organizations. By querying data repositories, they produce financial and market intelligence, create reports, dashboards, and methods for identifying data patterns and trends to help make predictions. You’ll need strong analytical thinking and attention to detail, as well as the flexibility to adapt to a range of tasks and responsibilities. In return, the employment outlook and earning potential are very strong.

Typical tasks for a Business Intelligence Analyst include:

• Analyzing product, market, or share trends to develop competitive market strategies
• Making recommendations for action using current business intelligence or trend data
• Communicating with customers, competitors, suppliers, professional organizations, or others to keep informed of business and industry trends
• Managing the flow of business intelligence information
• Collecting data from industry reports, public information, field reports, or other sources
• Preparing analytical reports, dashboard, and data visualization
• Updating computer database information

The types of skills required for a Business Intelligence Analyst include:

• Critical thinking
• Active listening
• Reading comprehension
• Active learning
• Verbal communication

Business Intelligence Analysts also work with many types of business software, including:

• Data base management system software
• Data base user interface and query software
• Development environment software
• Data visualization and reporting software
• Cloud development platforms

Management/Business Analysts conduct organizational studies and evaluations, design systems and procedures, conduct work simplification and measurement studies, and prepare operations and procedures manuals to help organizations operate efficiently and effectively.

Typical tasks for a Management/Business Analyst include:

• Documenting findings of study and prepare recommendations for implementation of new systems, procedures, or organizational change
• Interviewing personnel and conducting on-site observation to ascertain unit functions, work performed, and methods, equipment, and personnel used
• Analyzing data gathered and developing solutions or alternative methods of proceeding
• Studying work problems and procedures, such as organizational change, communications, information flow, integrated production methods, inventory control, or cost analysis
• Conferring with personnel concerned to ensure successful functioning of newly implemented systems or procedures

The types of skills required for a Management/Business Analyst include:

• Critical thinking
• Active listening
• Reading comprehension
• Active learning
• Verbal communication

Computer and information systems managers analyze and determine the technological needs for an organization by planning, coordinating, and directing computer-related activities. They recommend and direct the installation and maintenance of computer hardware and software. They might supervise software engineers, computer systems analysts, computer support specialists, and programmers. Demand for the role is growing much faster than average.

Typical activities for a Computer and Information Systems Manager might include:

• Developing computer information systems
• Directing organizational operations, projects, or services
• Analyzing data to inform operational decisions
• Working closely with others to accomplish tasks and resolve issues

The types of skills required for a Computer and Information Systems Manager include:

• Critical thinking
• Administration and management
• Engineering and technology
• Judgment and decision making
• Oral and written communication

Operations Research Analysts use advanced techniques, including optimization, data mining, statistical analysis, and mathematical modeling to help solve complex issues for businesses and organizations and help them operate more efficiently.

Typical tasks for an Operations Research Analyst include:

• Gathering and analyzing data
• Decision making and problem solving
• Communicating findings

Operations Research Analysts work in nearly all industries, including government and private sector companies. They work as full-time employees or on a project or contractual basis. Demand for Operations Research Analysts is expected to grow much faster than average in the near future.

The types of skills required an Operations Research Analyst include:

• Strong math
• Critical thinking
• Administration and management
• Engineering and technology
• Judgment and decision making
• Oral and written communication

The Berkeley College Business Data Science Bachelor’s degree program focuses on technologically advanced and rigorous data science and AI curricula with an innovative application-focused business core that includes solid math training. Additional courses deal with ethics, science, creativity, and communication skills for a well-rounded education that can prepare you to enter the field in a range of roles. The program offers concentrations in Business Analytics and Artificial Intelligence.

Berkeley maintains a rolling admissions policy, so students are encouraged to apply as early as possible. Applicants will be notified of a decision as soon as all credentials have been evaluated. Certain programs may have specific application deadline requirements. 

For further questions about the enrollment process, schedule an appointment with an associate.

The Business Data Science BS degree program is offered by Berkeley College New Jersey. The Business Data Science program courses are offered online and at a Berkeley College New Jersey campus as identified in the Course Schedule for each semester.

The College considers students for admission to degree and certificate programs on the basis of future potential, the motivation and interest to succeed in a chosen profession, and past academic achievement.

Graduation from high school or the equivalent is a basic requirement for admission to degree and certificate programs. In evaluating candidates, the Committee on Admissions takes into consideration your individual interests, your motivation to succeed in a chosen profession, and prior academic achievement. Basic requirements for admission include graduation from an accredited high school or equivalent and an entrance exam or SAT/ACT scores. Applicants to the programs offered within the School of Health Studies may have additional requirements. Documentation of successful completion of high school or the equivalent must be submitted to the College prior to starting classes.

A personal interview is strongly recommended. Applicants are encouraged to contact the Director of Admissions at the campus of their choice to arrange for an appointment with an Admissions Associate. For further information, students may also call the College at 866-317-6087 or email info@BerkeleyCollege.edu.

The Berkeley College Business Data Science Bachelor’s degree program can prepare you to enter the field in a wide range of roles.

A concentration in Business Analytics can prepare you for careers such as:

• BI Developer
• Management/Business Analyst
• Information Systems Analyst
• Operation Research Analyst
• CIS Analyst 

A concentration in Artificial Intelligence can prepare you for careers such as:

• Data Scientist
• Machine Learning Engineer
• Statistician/Mathematician
• Software/Application Developer

As the amount of data in the world is growing at an exponential rate, data science, and artificial intelligence (AI) are becoming crucial in enabling the next wave of digital disruption in the business world. In response to the recent technology breakthrough on data science and AI, it is clear that the way we live, work, build products and services, create customer experiences, and manage businesses is transforming. As AI algorithms and machines are becoming coworkers of humans, the composition of the workforce and the skills in demand are changing massively. Businesses, organizations, and members of the workforce need to acquire the skills in leveraging rapidly growing volumes of data to effectively collaborate with AI algorithms and machines in such a way that both, humans and machines, can bring the best in the workplace. With these rapidly evolving changes, this field is becoming increasingly relevant and we need proactive investments in developing skilled talent to stay ahead of the curve.

Berkeley College faculty members have years of industry experience implementing data-focused projects, along with academic and industry research in enterprise systems, CRM, analytics, and data science. In addition to technological competence, Berkeley professors bring expertise in academic program management, curriculum development, building outreach networks, and passion for applied learning.

Learning data science is not just about memorizing commands or solving coding exercises. It is about learning to love data, and the motivation and joy you can get from completing a hard project. It is about the wonder you feel when you finally apply a new concept or feel obsessed with solving a real-world problem. It is about the pride you feel when you leverage data to add value in the bottom line of an organization or make a difference in the world around you.