Data Science & Analytics

Turn Data into Intelligent Business Strategy

The Data Science specialization moves beyond explaining what happened to predicting what may happen next and identifying the best course of action. It combines technical depth, strategic business frameworks and behavioral insight so students can analyse complex challenges, build predictive models and confidently present recommendations to executive teams.

Program Direction

Area Objectives

Developing technical mastery, strategic business alignment, executive communication and responsible AI leadership.

01

Build deep expertise in Python, SQL, MongoDB, deep learning and computer vision to develop, deploy and manage predictive and prescriptive models.

02

Connect data outputs with Finance, Marketing, Supply Chain and HR so analytical initiatives deliver measurable business value.

03

Master data storytelling and Power BI/Tableau dashboarding to translate complex models into intuitive executive insights.

04

Apply Agile and MLOps principles while building a strong ethical foundation in data privacy, bias and responsible AI deployment.

The Data Science Area follows a data-to-decision pathway

Build the Foundation

Develop working proficiency in Python, mathematics, SQL, MongoDB and enterprise productivity tools.

Model and Predict

Apply machine learning, deep learning, NLP and computer vision to complex business problems.

Communicate Insight

Use Power BI, Tableau and data storytelling to turn analytical output into executive-ready recommendations.

Lead Responsible Decisions

Connect AI governance, agile delivery and business strategy to responsible, high-impact action.

Core focus areas include Generative AI, agentic AI, Python, Power BI, SQL, MongoDB, deep learning, natural language processing, computer vision, decision intelligence, data storytelling, software project management and responsible AI.

Courses Offered

Data Science

  • Advanced Data Science
  • Contemporary Issues in Analytics & Decision Science
  • Data Engineering
  • Programming Logic & Problem Solving
  • Python Programming
  • Basic SQL Programming
  • Database: SQL and MongoDB
  • Introduction to AI
  • Version Control with Git
  • Data Science Foundation
  • Certified Business Intelligence (BI) Analyst
  • Machine Learning Expert
  • Digital Product Management
  • Building Production Grade LLMs
  • Machine Learning Expert
  • Artificial Intelligence Foundation

Our Recruiters

Salient Features

Why Choose Data Science @ SBS?

A modern, business-focused specialization that combines full-stack analytical capability with the judgment required to lead data-driven decisions.

Data Science

GenAI-Integrated Curriculum

Generative AI, prompt engineering, computer vision and deep learning are integrated into the management curriculum for Industry 5.0 readiness.

Dual-Stack Proficiency

Students learn Python, SQL and NoSQL alongside management frameworks to bridge technical teams and executive decision-makers.

Global Benchmark Alignment

The curriculum draws on leading Decision Science practices and adapts them for immediate business application.

Decision Intelligence & Storytelling

Power BI, Tableau and executive presentation training help students build consensus around analytical recommendations.

Experiential Learning

Enterprise datasets, hackathons, software project frameworks and live industry capstones turn concepts into applied capability.

Future-Ready Careers

Strategic problem framing, cognitive decision-making and AI governance prepare students for high-value roles beyond routine coding.

Career Opportunities & Emerging Job Roles

Graduates are prepared for technology-driven roles across consulting, BFSI, retail, FMCG, FinTech, e-commerce, EdTech, healthcare analytics and Global Capability Centers.

Decision & Business Intelligence

  • Decision Science Manager
  • Business Intelligence Lead
  • Data Storyteller
  • BI Architect

AI & Machine Learning

  • AI Solutions Consultant
  • NLP Analyst
  • Computer Vision Application Lead
  • GenAI Specialist

Product & Analytics Management

  • Data Product Manager
  • Technical Program Manager – Analytics
  • MLOps Project Specialist

Strategic Analytics & Operations

  • Supply Chain Analytics Manager
  • Risk Intelligence Analyst
  • Growth Marketing Strategist

Emerging Technology & Ethics

  • AI Governance Lead
  • Ethical AI Specialist
  • Prompt Engineering Architect

Transform raw data into strategic foresight.

Apply Now →
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