SSIM-IIBS
PG Diploma in Business Analytics in Delhi

PGDM in Business Analytics

The PGDM in Business Analytics in Delhi is designed for students who want to combine management knowledge with data-driven decision-making skills. The program focuses on business intelligence, data interpretation, statistical analysis, data visualization, and analytical tools used to solve real-world business problems. Students learn how to convert business data into meaningful insights that support strategic planning and organizational growth. At SSIM-IIBS Delhi, the program integrates management education with practical analytics learning to help students prepare for roles in business analysis, data analysis, consulting, and business intelligence.

  • Last Update : Oct 17, 2026
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Admissions
Current Placement

Admissions 2027-29

Business Analytics Program Key Highlights

  1. Diverse & High-Demand Career Pathways Students can pursue roles such as Business Analyst, Data Analyst, BI Consultant, Analytics Manager, Strategy Consultant, and AI Specialist in leading MNCs, global firms, and fast-growing startups.
  2. Advanced Analytics & AI Competency Gain practical knowledge to translate complex datasets into strategic business insights.
  3. Industry-Integrated Learning Experience Experience hands-on learning through live projects, real-world case studies, internships, analytics labs, and industry certifications.
  4. Strategic Decision-Making & Business Integration The curriculum focuses on applying analytical insights to improve operational efficiency, customer experience, and organizational performance.
  5. Practical Learning Approach Apply classroom concepts through case studies, assignments, projects, presentations, and business problem-solving exercises.
  6. Analytics Tools and Technology Develop exposure to tools such as Microsoft Excel and Power BI for data analysis, visualization, and reporting.

Business Analytics Course Content

Career Assistance

The PGDM in Business Analytics at SSIM-IIBS Delhi combines analytical learning with career preparation to help students understand workplace expectations and prepare for opportunities in data-driven business functions. Along with academic learning, SSIM-IIBS Delhi supports students through structured career guidance, professional development, mentoring, and placement assistance

1:1 Career Mentorship
Personalized guidance to help students understand their strengths, interests and career direction.

Professional Grooming Classes
Focused sessions on professional etiquette, workplace behavior, confidence and overall personality development.

Communication & Presentation Skills
Training to improve business communication, presentations, public speaking and professional interaction.

Resume & Profile Development
Guidance on building professional resumes, LinkedIn profiles and career-ready personal profiles.

Aptitude & Assessment Preparation
Practice sessions covering aptitude, reasoning, communication and other common recruitment assessments.

GD, PI & Interview Preparation
Practical preparation through group discussions, personal interviews, mock interviews and feedback sessions.

Industry Interaction & Career Insights
Opportunities to interact with industry professionals and understand workplace expectations, roles and career paths.

Corporate Readiness Programs
Structured sessions focused on workplace skills, professional conduct, teamwork, problem-solving and business communication.

Internship & Industry Exposure Support
Guidance and support to help students gain practical exposure and understand real workplace environments.

Placement & Recruitment Support
Dedicated support throughout the recruitment process, including access to placement opportunities, recruitment drives and career guidance.

At SSIM-IIBS Delhi, the PGDM in Business Analytics helps students work towards professional readiness by bringing together management education, exposure to analytics tools, business problem-solving, and placement preparation. Placement assistance supports the recruitment process, while final selection depends on individual performance and employer requirements. 

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Business Analytics Course FAQ

PGDM in Business Analytics is a 2-year postgraduate management program that combines business strategy with data analytics.

PGDM in Business Analytics course is typically a 2-year full-time program divided into four semesters. Some institutes may also offer industry internships and live projects during the course duration.

Graduates from any stream with a valid entrance score and strong interest in analytics are eligible to pursue PG Diploma in Business Analytics.

The curriculum includes Business Statistics, Data Visualization, Predictive Modeling, Machine Learning, Big Data Analytics, Financial Analytics, Marketing Analytics, and Business Intelligence.

A PGDM in Business Analytics typically covers Python, R, SQL, Tableau, Power BI, Excel, and sometimes machine learning libraries.

Students can apply through exams like CAT, MAT, XAT, CMAT, or the institute’s own entrance test for admission.

Yes, SSIM-IIBS Delhi provides placement assistance and career preparation support. Students can receive guidance on resume development, interview preparation, professional skills, and recruitment opportunities relevant to their qualifications and competencies.

Yes, non-technical students can easily pursue it, as the program starts with fundamentals and trains them in all essential analytics skills.

Graduates can work in IT firms, banks, consulting companies, e-commerce, fintech, and startups in analytical and strategic roles.

Common job roles include Business Analyst, Data Analyst, Marketing Analyst, Financial Analyst, Business Intelligence Analyst, and Analytics Consultant.

The program helps fresh graduates connect management concepts with analytical thinking and business applications. Through academic projects, practical assignments, tool exposure, and career preparation, students can develop skills relevant to entry-level analytics and management roles.

Students can evaluate SSIM-IIBS Delhi by reviewing its AICTE approval, curriculum, practical learning opportunities, analytics tool exposure, faculty, internship opportunities, and placement assistance. Comparing these factors with personal career goals can help students make an informed decision instead of relying only on rankings or promotional claims.

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