Business Data Science Program

Business Data Science Bachelor of Science Degree (BS)

Help shape the future in this exciting, emerging career field!

Business data science is an in-demand multi-disciplinary career field that combines a range of skills that include analyzing large amounts of data, data mining, and programming skills, along with cutting-edge technologies such as Artificial Intelligence. A wide range of organizations depend on skilled professionals to help make crucial decisions and predictions.

Here’s what sets the Berkeley College Business Data Science program apart:

  • You’ll learn in small classes with personal attention from instructors with professional experience to learn the in-demand skills required for this cutting-edge field
  • A focus on applying knowledge gained from the program to real-world business issues
  • An emphasis on critical thinking, problem solving, and communication skills
  • You may have the opportunity to participate in an internship or job-related assignment for a valuable learning experience
  • You’ll have exceptional networking opportunities through faculty and alumni connections

Concentrations

One of the few programs of its kind in the area, 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 two areas of concentration:

Artificial Intelligence, which can prepare you for careers such as:

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

Business Analytics, which can prepare you for careers such as:

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

Career Opportunities

Careers in Business Data Science

Business Data Science is one of the most in-demand—and lucrative—career fields today. Companies and organizations of all types need qualified professionals with the skills and qualifications for data-driven decision-making.

With concentrations in Business Analytics and Artificial Intelligence, the Berkeley College Business Data Science degree program can prepare you for a range of roles with a promising employment outlook and high earning potential. The concentrations include courses in data science, business analytics, and more to give you the sought-after skills for this rapidly growing field.

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

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

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

Data Scientists combine skills in math, computers, and business to help organizations understand their goals and to use data to help achieve these goals. They design data modeling processes, create algorithms and predictive models to extract the data to help the organizations analyze and use the data. The employment outlook and earning potential for Data Scientists are very strong.

Typical tasks for a Data Scientist include:

  • Collecting raw data and transforming it into useable formats
  • Analyzing data for business-related purposes
  • Searching for data patterns and trends that can benefit businesses and organizations
  • Collaborating and communicating with IT and business professionals

The types of skills required for a Data Scientist include:

  • Data mining
  • Deep learning
  • Data visualization
  • Statistical research techniques
  • Predictive analysis
  • Strong math
  • Critical thinking
  • Administration and management
  • Engineering and technology
  • Judgment and decision making
  • Oral and written communication

Database Architects design strategies for enterprise database systems and design and construct large relational databases. They set organizational standards for operations, programming, and security, and refine system performance and functionality. Database architects are often investigative and enterprising.

Typical tasks for a Database Architect include:

  • Designing databases to support business applications, ensuring system scalability, security, performance and reliability
  • Developing database architectural strategies at the modeling, design and implementation stages to address business or industry requirements
  • Collaborating with system architects, software architects, design analysts, and others to understand business or industry requirements
  • Developing data models for applications, metadata tables, views or related database structures.
  • Set up database clusters, backup, or recovery processes

The types of skills required for a Database Architect include:

  • Strong data base management system software skills
  • Knowledge of design techniques, tools, and principles
  • Strong math
  • Critical thinking
  • Administration and management
  • Engineering and technology
  • Judgment and decision making
  • Oral and written communication

Mathematicians and statisticians analyze data and apply mathematical and statistical techniques. They work with data to help solve problems in various organizations, including government, education, and private-sector companies such as engineering, healthcare, or other fields.

Typical tasks for a Mathematicians or Statistician include:

  • Applying mathematical theories and techniques to solve practical problems in business, engineering, and other fields
  • Designing surveys, experiments, or opinion polls to collect data
  • Developing mathematical or statistical models to analyze data
  • Interpreting data and report conclusions drawn from their analyses
  • Using data analysis to support and improve business decisions

The types of skills required for a Mathematicians or Statistician include:

  • Strong math skills
  • Strong software skills
  • Problem solving
  • Attention to detail
  • Judgment and decision making
  • Oral and written communication

Software/Application Developer develop, create, and modify general computer applications software or specialized utility programs. They analyze the needs of various types of organizations and develop software solutions accordingly. They also design software or customize software to help their organizations run efficiently. Software/Application Developer may also supervise computer programmers and other professionals.

Typical tasks for Software/Application Developers include:

  • Modifying existing software to correct errors, allow it to adapt to new hardware, or to improve its performance.
  • Analyzing needs and software requirements to determine feasibility of design within time and cost constraints.
  • Working with systems analysts, engineers, programmers, and others to design systems and determine capabilities, performance requirements and interfaces.
  • Storing, retrieving, and manipulating data
  • Using scientific analysis and mathematical models to predict and measure outcomes

The types of skills required Software/Application Developers include:

  • Programming
  • Systems analysis and evaluation
  • Judgment and decision making
  • Complex problem solving
  • Attention to detail
  • Oral and written communication

Catalog

Business Data Science Program

You’ll find additional information in our Catalog, including the different degrees offered, descriptions of the courses you’ll take, the department faculty, and much more. You can always live chat or contact us with questions.

Locations Offered

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.

Frequently Asked Questions: Business Data Science

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.