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Title: Business analytics guide


1
BUSINESS ANALYTICS
Outlook and Education (2024-25)
2
Introduction to Business Analytics In the
ever-evolving landscape of modern business, data
has become the lifeblood of decision- making
processes. Business analytics, a field at the
intersection of data science and business
intelligence, empowers organizations to leverage
data-driven insights for strategic advantage. By
applying statistical analysis, predictive
modeling, and data mining techniques, business
analytics professionals extract actionable
intelligence from vast datasets to inform key
business decisions, optimize operations, and
drive growth. Business analytics is a field that
drives practical, data-driven changes in a
business. It combines the fields of business and
computer science. The business aspect requires
both a high-level understanding of the business
as well as the practical limitations that
exist. The analytical part requires an
understanding of data, statistics, operation
research and computer science.
3
Career in
Business Analytics
  • The outlook for careers in business analytics
    remains exceptionally promising in 2024-25. With
    organizations across industries doubling down on
    data-driven strategies, the demand for skilled
    professionals adept at interpreting and
    harnessing data continues to soar. According to
    industry reports, the global business analytics
    market is projected to reach unprecedented
    heights, driven by factors such as increasing
    data complexity, the proliferation of digital
    technologies, and the growing emphasis on
    predictive analytics and artificial intelligence.
  • According to the BLS, the role of management
    analysts is expected to grow 11 between 2021 and
    2031, which is much faster than the average for
    all occupations.

a business analyst who focuses on business
operations like supply chains and production
schedules, is expected to grow 23 between 2021
and 2031. Employment of data scientists is
projected to grow 35 percent from 2022 to 2032,
much faster than the average for all
occupations. The U.S. Bureau of Labor
Statistics reports that the average salary for
business analysts is 104,660.
4
Steps to Become a Business Analyst
To embark on a career in business analytics,
aspiring professionals typically pursue
specialized education and training. A Master of
Science (MS) in Business Analytics is widely
recognized as a preferred credential, offering a
comprehensive curriculum that covers essential
topics such as statistical analysis, data mining,
machine learning, and business intelligence.
Additionally, proficiency in programming
languages such as Python, R, SQL, and data
visualization tools like Tableau or Power BI is
highly valued in the job market.
Step 3 Earn Your
Step 1
Step 2
Step 4
Earn a Bachelor's Degree in Business or Data
Science
Get an Entry-Level Business Analyst Job
Get a Job as a Business Analyst
Master's Degree
5
Ms in Business Analytics from St. Johns
University
St. Johns University stands at the forefront of
business analytics education, offering
cutting-edge programs designed to equip students
with the skills and knowledge needed to excel in
the field. With a commitment to academic
excellence, practical experience, and global
perspective, St. Johns prepares students for
success in the rapidly evolving world of business
analytics. At St. Johns, students have access to
a diverse range of courses, taught by
industry experts and seasoned faculty members,
that cover the latest trends, technologies, and
methodologies in business analytics. The
universitys state-of-the-art facilities,
including high-tech laboratories, modern
classroom buildings, and a comprehensive library,
provide students with the resources they need to
thrive academically.
Required Courses Five Courses BUA 3330,
Introduction to Business Analytics BUA 3336, Big
Data and Data Mining for Business BUA 3337,
Predictive Analytics and Business Forecasting BUA
3338, Optimization and Simulation Methodology
BUA 3350, Business Research Methods.
Business Analytics Electives One course from
the following BUA 3310, Data Visualization
Principles and Techniques BUA 3311, Machine
Learning for Business BUA 3312, Sport Analytics
A Managerial Perspective BUA 3346, Linear
Programming for Business Decision Making IS 3339,
Business Application Software IS 3347, Business
Data Communication and Network IS 3351, Object
Oriented Programming IS 3352, Data and Database
Management
Applied Electives One Analytics course from
other TCB departments.
6
For more information, please contact
Office of Graduate Admission 718-990-1601 gradhelp
_at_stjohns.edu
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