MBA in Business Analytics at Golden Gate University

Advance your career with a top-tier MBA in Business Analytics education

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About MBA in Business Analytics at Golden Gate University (GGU)

The Online MBA in Business Analytics at Golden Gate University is crafted to equip students with the analytical and strategic skills needed to make data-driven business decisions. The program covers essential topics such as data visualization, predictive analytics, business intelligence, and digital transformation strategies, preparing professionals for leadership roles in a data-centric world.

Delivered in a flexible online format, the program is ideal for working professionals seeking to balance career advancement with ongoing responsibilities. Students have the opportunity to choose from a wide range of electives aligned with their industry or career interests, gaining hands-on experience through real-world projects and case studies.

The MBA in Business Analytics program is accredited by the Accreditation Council for Business Schools and Programs (ACBSP), ensuring a high standard of academic excellence and practical relevance. Faculty members include experienced professionals and industry experts who provide real-world context to analytical theories and tools.

Overall, this program is ideal for aspiring business leaders, analysts, and managers aiming to leverage data insights to drive organizational success and innovation.

Course Description

LIBA’s executive programmes are tailored for working professionals who aim to enhance their knowledge, acquire new skills, or transition into high-demand areas like analytics. Designed with a balance of academic rigor and industry relevance, these programs are delivered by seasoned academicians and practitioners with real-world business experience.

Through immersive case studies, hands-on analytics projects, and interactive online sessions, learners gain practical insights into solving modern business challenges using data. LIBA's business analytics track is structured to mirror real-world practices, helping students build confidence in applying analytical tools and making data-informed decisions across functions and industries.

Learning Outcomes

Graduates of this program will have the knowledge and skills to:

Apply data-driven decision-making techniques to solve complex business challenges across various industries.
Use statistical tools, predictive modeling, and machine learning algorithms to interpret and visualize data for strategic insights.
Leverage business intelligence platforms to analyze market trends, consumer behavior, and operational performance.
Integrate analytics into functional areas such as marketing, finance, and operations to optimize business outcomes.
Assess the ethical and legal implications of data usage, and apply best practices in data governance and security.
Communicate analytical findings effectively to both technical and non-technical stakeholders to support informed decision-making.

Academic Criteria

Bachelor’s degree from a recognized university
Minimum of 50% aggregate marks
Relevant background in business, analytics, or technology preferred

Who Can Attend

Graduates aiming to enter analytics roles
Working professionals seeking leadership in data-driven roles
Entrepreneurs leveraging analytics for growth
Mid-to-senior level managers enhancing strategic decision-making
Aspiring business executives focusing on digital transformation

Admission Process

Submission of Statement of Purpose (SOP)
Personal Interview
Evaluation of academic and professional background

Course Fee

$9,050

Payable in installments

Registration Fee

$150

Non-refundable

Duration

2 Years (2 Terms)

Fully online, flexible format

Key Focus Areas

Data Analytics, Predictive Modeling, Business Intelligence, Data-Driven Decision Making

Transform business strategy through analytical insights and real-world applications

Apply Now

Step 1

Complete your Application

Complete your application and submit the required details. The Admissions Committee will then review your application which includes your work experience & educational background.