Doctorate in Business Administration (DBA)

A professionally grounded doctorate for senior managers, consultants, founders, and executives.

Research-led, industry-relevant curriculum
Designed for working professionals
International academic standards
Focused on real organisational challenges
Enroll Now

Why Choose Growthskale?

Growthskale was built on a simple premise:
 Business education must reflect how business actually operates.

Applied research

Executive decision-making

Organisational strategy

What You will Learn?

Business Research
Strategic Analysis
Evidence-Based Decisions
Leadership Theory
Systems Innovation
Ethical Leadership

TRANSFORMATIONS

Professionals across sectors are transitioning into advanced leadership and decision-making roles through doctoral-level business research.

Indrawatee Luxmi Dhoonmoon
IT /Support
DATA ANALYST

“I had years of experience, but the DBA helped me frame my thinking more clearly.
It gave language, structure, and academic discipline to decisions I was already making — and improved how I justify them.”

David Llewelyn Thomas
NON-TECH
BUSINESS ANALYST

“The program challenged how I think — not just what I know.
 It forced me to slow down, question assumptions, and support decisions with defensible reasoning.”

Indrawatee Luxmi Dhoonmoon
IT /Support
DATA ANALYST

“I had years of experience, but the DBA helped me frame my thinking more clearly.
It gave language, structure, and academic discipline to decisions I was already making — and improved how I justify them.”

David Llewelyn Thomas
NON-TECH
BUSINESS ANALYST

“The program challenged how I think — not just what I know.
 It forced me to slow down, question assumptions, and support decisions with defensible reasoning.”

Indrawatee Luxmi Dhoonmoon
IT /Support
DATA ANALYST

“I had years of experience, but the DBA helped me frame my thinking more clearly.
It gave language, structure, and academic discipline to decisions I was already making — and improved how I justify them.”

David Llewelyn Thomas
NON-TECH
BUSINESS ANALYST

“The program challenged how I think — not just what I know.
 It forced me to slow down, question assumptions, and support decisions with defensible reasoning.”

Why This DBA Program Stands Out

Most DBA programs lean heavily toward theory or, at the other extreme, dilute academic rigor in the name of convenience.
 Growthskale’s DBA is built differently—designed for experienced professionals who want to conduct meaningful research while remaining deeply engaged with real business practice

Built for professionals with significant managerial or leadership experience
Clear academic structure with defined milestones and outcomes
Designed to run alongside full-time professional roles
Focus on application, not classroom simulation
Doctoral rigor maintained throughout the program
Research questions drawn from real business challenges
Theory used to inform action and decision-making
Emphasis on applied, evidence-based inquiry
Focus on relevance, not conceptual excess
Outcomes useful to organisations, not just academia
Curriculum co-developed with senior practitioners
Academic oversight by doctoral-qualified researchers
Continuous review to ensure contemporary relevance
Balance between methodological rigor and practical insight
Content aligned with current organisational realities
Research conducted within live organisational environments
Use of real business data and strategic challenges
Strong alignment with professional roles or industries
Encourages direct organisational contribution
Supports practical implementation of research findings
Learning happens through feedback, not videos alone:
Live, instructor-led sessions
Direct access to mentors for guidance
Real-time doubt resolution
No passive watching. Active learning that sticks.
Develops advanced analytical and critical thinking skills
Strengthens evidence-based decision-making ability
Improves clarity in complex strategic discussions
Enhances credibility in senior leadership and advisory roles
Enables confident defence of ideas and recommendations
Designed to fit alongside professional responsibilities
Clear timelines and accountability checkpoints
No reduction in academic or research expectations
Supportive pacing without lowering rigor
Consistent progress toward doctoral completion
Advanced ability to frame and solve complex problems
Strong command of applied research methods
Deeper strategic and organisational understanding
Confidence engaging in high-level intellectual discourse
A doctorate grounded in substance, not symbolism

Module 01 : Foundations of Data Science (6 Weeks)

Overview

Every great Data Scientist needs strong foundations. This module builds your base in programming, statistics, and visualization, ensuring you’re equipped to think analytically and handle data from day one.

What You’ll Learn
Excel for Analytics – Functions, pivot tables, dashboards, forecasting.
Excel for Analytics – Functions, pivot tables, dashboards, forecasting.
Excel for Analytics – Functions, pivot tables, dashboards, forecasting.
Excel for Analytics – Functions, pivot tables, dashboards, forecasting.

Module 01 : Foundations of Data Science (6 Weeks)

Overview

Every great Data Scientist needs strong foundations. This module builds your base in programming, statistics, and visualization, ensuring you’re equipped to think analytically and handle data from day one.

What You’ll Learn
Excel for Analytics – Functions, pivot tables, dashboards, forecasting.
Excel for Analytics – Functions, pivot tables, dashboards, forecasting.
Excel for Analytics – Functions, pivot tables, dashboards, forecasting.
Excel for Analytics – Functions, pivot tables, dashboards, forecasting.

Module 01 : Foundations of Data Science (6 Weeks)

Overview

Every great Data Scientist needs strong foundations. This module builds your base in programming, statistics, and visualization, ensuring you’re equipped to think analytically and handle data from day one.

What You’ll Learn
Excel for Analytics – Functions, pivot tables, dashboards, forecasting.
Excel for Analytics – Functions, pivot tables, dashboards, forecasting.
Excel for Analytics – Functions, pivot tables, dashboards, forecasting.
Excel for Analytics – Functions, pivot tables, dashboards, forecasting.

Industry Vetted Curriculum

Our curriculum is designed with one principle in mind:
learn what the industry actually uses, and learn it the way professionals apply it.

Module 01 : Organizational Behavior & Leadership
Module 02 : Data Wrangling & Analysis
Module 03 : Financial Decision Making
Module 04 : Global Business & International Markets
Module 05 : Innovation & Change Management
Module 06 : Entrepreneurship & Business Development
Module 07 : Marketing Strategy
Module 08 : Operations & Supply Chain Management
Module 09 : Data Analytics for Business Intelligence
Module 10 : Corporate Strategy & Policy
Module 11 : Sustainability & Corporate Social Responsibility (CSR)
Module 01 : Foundations of Data Science (6 Weeks)
Module 02 : Data Wrangling & Analysis (5 Weeks)
Module 03 : Machine Learning & Predictive Modeling (6 Weeks)
Module 04 : AI Applications – Deep Learning & NLP (7 Weeks)
Module 05 : Advanced Systems – Time Series, Recommenders & Big Data (5 Weeks)
Module 06 : MLOps & Deployment (6 Weeks)
Module 07 : Certification Prep & Career Launchpad (6 Weeks)

Growthskale Alumni
Success Stories

Join hundreds of professionals who've transformed their careers with Growthskale.

Mayank Srivastava
6+  yrs exp.
AI Engineer
+90% Hike

After 6+ years in sales at IndianOil, Mayank transitioned into data and AI with Meritshot. With expert mentorship, he converted his sales experience into strong data narratives, built real-world machine learning projects, and prepared for competitive AI interviews—successfully moving into a full-time data role.

Harshita Shah
3.5  yrs exp.
Cybersecurity Analyst
+75% Hike

With hands-on experience in security monitoring, this professional refined their expertise at Meritshot to step into a high-impact cybersecurity role. Through focused guidance on threat detection and incident response, they now help monitor critical infrastructure and improve threat visibility across teams at HCL.

Mohit Singh
6  yrs exp.
Cybersecurity Consultant
+110% Hike

Seeking a shift from technical execution to strategic advisory, this professional leveraged Meritshot’s structured guidance to position expertise in risk assessment, compliance, and cloud security. Now at PwC, they help organizations strengthen security posture and meet regulatory requirements.

Aakriti Jain
5.5  yrs exp.
Risk & Compliance Analyst
+85% Hike

Looking to move into a strategic compliance role, this professional gained deep expertise in governance frameworks through Meritshot. Today, they specialize in risk assessment and standards like ISO and GDPR, helping organizations build long-term resilience against cyber risks.

Aryan Singh
3  yrs exp.
Cybersecurity Engineer
+80% Hike

Aiming to work on large-scale security operations, this professional strengthened skills in network security and vulnerability management with Meritshot. Now a Cybersecurity Engineer at TCS, they implement robust security measures and help enhance organizational defense systems.

Aaditya Malhotra
3  yrs exp.
Software Developer
+120% Hike

With Meritshot’s structured roadmap, this professional transitioned from mechanical engineering to software development by building strong programming and backend skills. Now a Software Developer at Jupiter, they achieved a 120% career hike and a role they’re excited about.

Work on Projects with
Real-World Data

Transform theory into executive-level impact by working on doctoral capstone projects grounded in real organizational challenges, strategic data, and evidence-based research.

Domain Specialization Projects

Banking, Finance & Insurance

Customer Attrition Strategy Analysis - Examine drivers of long-term customer churn and retention strategies in financial institutions.
Enterprise Fraud & Risk Governance Study - Evaluate fraud patterns, internal controls, and regulatory effectiveness using real financial data.
Risk–Return Decision Frameworks - Assess investment decision-making models used by institutional investors and banks.
Market Volatility & Forecasting Research - Study macroeconomic signals and forecasting methods influencing stock and portfolio performance.

E-commerce & Marketing

Customer Lifetime Value Strategy - Analyze segmentation and long-term value creation across customer cohorts.
Marketing ROI & Campaign Effectiveness - Study attribution models and strategic decision-making in digital marketing spend.
Personalization & Recommendation Strategy - Examine how recommendation systems influence consumer behavior and revenue growth.
Dynamic Pricing & Demand Strategy - Research pricing frameworks and elasticity-driven decision models.

Healthcare & Pharma

Patient Risk & Outcome Analysis - Study predictive models used to identify high-risk patient populations.
Medical Decision Support Systems - Analyze diagnostic classification systems and their impact on clinical decision-making.
Pharma Sales & Demand Forecasting - Examine forecasting accuracy and supply chain implications in pharmaceutical distribution.
Hospital Resource Optimization - Research data-driven strategies for capacity planning and healthcare operations.

Human Resources & Operations

Employee Attrition & Retention Research - Identify organizational, cultural, and compensation drivers of employee turnover.
Promotion & Talent Progression Models - Analyze fairness, performance metrics, and predictive promotion frameworks
Workforce Productivity & Performance Analytics - Study efficiency, engagement, and output measurement systems.
Resource Optimization - Evaluate staffing models, scheduling strategies, and operational forecasting methods.

Capstone & Mini Projects

End-to-End Business Analytics Deployment - Design and evaluate enterprise analytics pipelines for executive decision support.
Market Basket & Consumer Behavior Research - Study purchasing patterns to inform cross-selling and growth strategies.
Strategic Growth & Forecasting Models - Apply quantitative analysis to long-term business expansion planning.

Industry Case Studies

Climate & Food Supply Chain Strategy - Analyze sustainability risks and food security decision models.
Keyword & Digital Visibility Strategy - Research search behavior and marketing performance optimization.
Content Moderation & Platform Governance - Study decision frameworks for managing misinformation and harmful content.
Customer Retention & Lifetime Modeling - Examine behavioral data to improve long-term customer engagement.

Mini Projects

Sentiment Analysis & Brand Perception - Analyze public opinion and reputation signals using textual data.
Credit Risk & Scoring Models - Research factors influencing creditworthiness and lending decisions.
Recommendation Systems & Consumer Choice - Study algorithmic influence on user engagement and preferences.

Libraries & Tools Covered

Gain hands-on expertise with 40+ industry-standard tools, programming languages, and frameworks used by top Data Science & AI professionals worldwide.

Our Expert Mentors

With Highly Experienced Instructors & Mentors you are in SAFE Hands

Chintada Abhilash

Data Science leader

Data Science leader with 7+ years of experience in AI & ML, driving impactful solutions from predictive analytics to automation. Skilled in building scalable models and advanced algorithms, he has led teams to deliver data-driven business outcomes. Abhilash is passionate about turning data into actionable insights and mentoring the next generation of innovators.

 Heena Arora

Data Scientist

Data Scientist at PwC with 3+ years of experience in predictive modeling, advanced analytics, and large-scale data solutions. Previously at Amazon, she gained expertise in machine learning and process optimization. Heena specializes in transforming raw data into business insights that drive strategic impact.

Saurabh Daund

AI & Data Science professional

AI & Data Science professional with 5+ years of expertise in NLP, Generative AI, LLMs, and intelligent system design. He has built scalable, AI-driven products that enhance business performance and user experience. Saurabh blends technical depth with practical problem-solving to deliver innovative AI solutions.

Saadh Khan

AI Engineer

With 8+ years in AI & ML, Saadh has led end-to-end projects across industries, from predictive modeling to scalable AI deployment. He brings expertise in advanced analytics and data-informed decision-making. Passionate about innovation, he creates AI solutions that deliver measurable business growth.

Chalsee Choudhary

Data Scientist

Software Developer at PwC with 5 years of experience in building efficient, user-focused applications. Formerly a Data Scientist at Accenture, she combined analytics and ML to solve complex business challenges. Chalsee now integrates her development and data expertise to create impactful technology solutions.

Chintada Abhilash

Data Science leader

Data Science leader with 7+ years of experience in AI & ML, driving impactful solutions from predictive analytics to automation. Skilled in building scalable models and advanced algorithms, he has led teams to deliver data-driven business outcomes. Abhilash is passionate about turning data into actionable insights and mentoring the next generation of innovators.

 Heena Arora

Data Scientist

Data Scientist at PwC with 3+ years of experience in predictive modeling, advanced analytics, and large-scale data solutions. Previously at Amazon, she gained expertise in machine learning and process optimization. Heena specializes in transforming raw data into business insights that drive strategic impact.

Saadh Khan

AI Engineer

With 8+ years in AI & ML, Saadh has led end-to-end projects across industries, from predictive modeling to scalable AI deployment. He brings expertise in advanced analytics and data-informed decision-making. Passionate about innovation, he creates AI solutions that deliver measurable business growth.

Saurabh Daund

AI & Data Science professional

AI & Data Science professional with 5+ years of expertise in NLP, Generative AI, LLMs, and intelligent system design. He has built scalable, AI-driven products that enhance business performance and user experience. Saurabh blends technical depth with practical problem-solving to deliver innovative AI solutions.

Chalsee Choudhary

Data Scientist

Software Developer at PwC with 5 years of experience in building efficient, user-focused applications. Formerly a Data Scientist at Accenture, she combined analytics and ML to solve complex business challenges. Chalsee now integrates her development and data expertise to create impactful technology solutions.

Your Career Growth
Roadmap

A proven 4-step path to take you from upskilling to your dream job

Professional Positioning

Clarify and strengthen your leadership profile

Strategic Depth

Move from execution to strategy and transformation

Governance Readiness

Build credibility for consulting, advisory, and board-level engagement

Long-Term Professional Authority

Establish an academic–industry hybrid profile

Globally Recognized Certificates

Earn internationally recognized credentials that validate your expertise and strengthen your professional credibility.

Internationally Validated Credentials

Get certificates issued by globally recognized institutions, trusted by employers, academic bodies, and professional networks across regions.

Built for Professional & Academic Progression

Each certification reflects structured learning, evaluated outcomes, and applied understanding — not just course completion.

Seamless Digital Verification

All certificates are digitally verifiable, making it easy for employers, universities, and evaluators to authenticate your credentials.

Certificate Includes
Institutional Seal
Professional Recognition
Research-Based Evaluation
Digital Verification
Skills & Learning Outcome
Lifetime Validity
5000+

Certificates Issued

100%

Employer Recognition

Global

Acceptance

Assignments That
Replace Guesswork With Real Skills

7 industry-demanded assignments that reflect how data scientists actually work inside companies today.

Basic Assignments

Framing Organisational Problems as Research Questions

Professional relevance: Critical for leaders and consultants who must define problems before solving them
You will:
Translate real organisational challenges into researchable questions
Distinguish symptoms from root causes
Apply conceptual frameworks to structure inquiry
Justify problem relevance using evidence

Outcome: Clear research framing and disciplined analytical thinking.

Critical Review of Management and Business Literature

Professional relevance: Essential for evidence-based decision-making
You will:
Evaluate academic and practitioner literature critically
Identify gaps, contradictions, and assumptions
Synthesize insights across multiple sources
Build defensible conceptual arguments

Outcome: Ability to ground decisions in credible evidence, not opinion.

Intermediate Assignments

Research Design for Real Organisational Contexts

Professional relevance: Used in consulting, strategy, and transformation roles
You will:
Select appropriate qualitative or quantitative methods
Design ethical, feasible research studies
Align methodology with organisational constraints
Assess data quality and limitations

Outcome: Competence in designing rigorous, real-world research.

 Data Interpretation for Strategic Decision-Making

Professional relevance: Core to senior leadership and advisory roles
You will:
Analyse organisational data systematically
Interpret findings beyond surface-level trends
Connect evidence to strategic implications
Communicate insights clearly to decision-makers

Outcome: Stronger analytical judgment and strategic clarity.

Advanced Assignments

Independent Applied Research Project

Professional relevance: Foundation for consulting authority and thought leadership
You will:
Conduct original research within a real organisational setting
Generate insights with practical relevance
Integrate theory, data, and professional judgment
Defend findings through critical evaluation

Outcome: Capability to produce research that informs real decisions.

Doctoral Dissertation (Practice-Oriented)

Professional relevance: Signals intellectual authority and credibility
You will:
Make an original contribution to business practice
Demonstrate methodological rigor
Address complex organisational problems
Present defensible, evidence-backed conclusions

Outcome: A doctoral dissertation grounded in substance—not symbolism.

Executive Decision Frameworks (Practice-Oriented)

Professional relevance: Signals executive decision credibility.
You will:
Translate doctoral research into executive-ready frameworks
Design evidence-based, practical recommendations
Evaluate trade-offs, risks, and consequences
Present insights in a boardroom-ready format

Outcome: The ability to convert rigorous research into clear, defensible executive decisions.

Ready to Level Up Your Career?

Join experienced professionals who are deepening their leadership capability through rigorous, practice-oriented doctoral research—without stepping away from their careers.

Flexible Learning

Designed to fit alongside senior professional responsibilities while maintaining doctoral-level standards and expectations.

Expert Mentors

Work closely with doctoral-qualified supervisors and experienced practitioners who guide your research and challenge your thinking.

Doctorate-Level Programme

A professionally oriented DBA grounded in applied research, critical inquiry, and international academic standards.

Long-Term  Impact

Build credibility for senior leadership, advisory, governance, and academic–industry hybrid roles over time.

Program Outcomes
Advanced capability in applied business and management research
Stronger strategic and evidence-based decision-making skills
A doctoral dissertation grounded in real organisational contexts
Access to a peer network of senior professionals and leaders

Doctoral-Level Rigor

Applied Research Focus

Senior Professional Cohorts

Long-Term Career Value

Lab Sessions
Doctorate of Business Administration

Most professionals manage businesses.
Very few shape how businesses think, grow, and evolve.

That’s why the Doctorate of Business Administration (DBA) at GrowthSkale is designed for senior professionals, founders, consultants, and leaders who want to move beyond execution into strategic authority, thought leadership, and real-world impact.

What Actually Happens Inside the Lab Sessions
Applied Research Across the Full Business Stack
Strategic Leadership & Decision-Making Labs
Advanced Business & Management Research Labs
Learn by Researching. Lead by Applying.
Why These Lab Sessions Matter More Than Lectures
The Outcome of a GrowthSkale DBA

Expert-Led Guest Sessions

Most courses teach what should work.
These guest lectures show what actually works in production — and what breaks.

What Makes These Different
Typical Guest Sessions
Our Guest Sessions

What You’ll Actually Learn From Industry Experts

These expert sessions focus on what actually works inside real organisations — and what fails under pressure.

How Executive Decisions Run in Real Organisations
  • What happens after a strategy is approved
  • Why “sound logic” often fails during execution
  • How leaders manage uncertainty, resistance, and trade-offs
Real Strategy, Real Constraints
  • How organisations make decisions with imperfect data
  • How leaders balance speed, risk, and evidence
  • Why certain frameworks look good on paper but fail in practice
Leadership, Influence & Career Signals
  • What differentiates trusted advisors from competent managers
  • How executives evaluate recommendations — beyond the analysis
  • How doctoral-level thinking shows up in boardrooms and consulting

Interactive by Design — Not a
One-Way Talk

These guest lectures are discussion-led, not broadcast-style.

Interactive by Design — Not a
One-Way Talk.
Expect:
  • Tools and workflows used by real data teams
  • Why certain approaches don’t survive production environments
  • How technical decisions are aligned with business constraints
This is not passive listening. It’s active problem-solving.
Multiple Roles. Multiple
Industries. One Reality Check.
You’ll hear from professionals across:
  • Product companies and startups
  • Fintech, SaaS, e-commerce, analytics teams
  • Data Science, ML, AI, and analytics roles
This gives you range — so you don’t prepare for one narrow version of the job.
The Real Outcome
After these sessions, learners stop asking:
 “Is this important?”
They start asking:
 “Would this actually work in a real system?”

That shift in thinking is what moves learners from theory to practice.
Why This Is a Big Deal
(Blunt Truth)
Most people entering modern tech and business roles:
  • Have never seen real production or decision trade-offs
  • Don’t understand why some “best practices” fail in reality
  • Overestimate what matters — and underestimate what breaks systems
These guest lectures correct that before it costs you interviews or years.

You’re Not Left to Figure It Out

Most programs dump content and disappear.
 We do the opposite.

1. Structured Onboarding (No Guesswork)

You’re not dropped into readings or lectures blindly.
  • Clear academic and applied roadmap from Day 1
  • Defined milestones and learning outcomes at each stage
  • Research expectations set early — no surprises later
  • Orientation to tools, methods, and academic standards
You know what to focus on, why it matters, and how it connects to doctoral-level outcomes.

2. Active Mentor & Instructor Support

This isn’t “watch and hope.”
  • Dedicated mentors for doubt resolution
  • Concept clarification during and after lab sessions
  • Guidance on how to approach problems, not just answers
  • Help when you’re stuck — technically or mentally
If you hit a wall, you don’t wait weeks. You get unstuck.

3. Assignment & Project Guidance (Not Hand-Holding)

We won’t spoon-feed. We won’t abandon you either.
  • Clear problem understanding sessions
  • Feedback on approach, logic, and assumptions
  • Help identifying mistakes before they become habits
  • Reviews aligned with DBA and industry expectations
You learn how professionals think — not how students submit.

4. Career & Interview Assistance (Reality-Based)

We don’t sell fake placement promises.
  • Guidance on positioning your DBA work professionally
  • Support on explaining research decisions and trade-offs
  • Clarity on what actually signals credibility at senior levels
  • Preparation for advisory, leadership, and consulting conversations
You stop preparing answers.
 You start preparing thinking.

5. Continuous Check-Ins & Accountability

Most people quit silently. We don’t let that happen.
  • Dedicated mentors for doubt resolution
  • Concept clarification during and after lab sessions
  • Guidance on how to approach problems, not just answers
  • Help when you’re stuck — technically or mentally
If you hit a wall, you don’t wait weeks. You get unstuck.
The Real Difference
Other programs ask:
“Did you watch the content?”
We Ask:
“Can you explain this decision in
a real system?”
That’s the standard we support you toward — consistently.

Frequently Asked Questions

Have questions? We’ve got answers to help you get the most out of your learning journey.

Program Overview
Curriculum
Mentorship
Career Support
Payments & Policies

Frequently Asked Questions

Have questions? We’ve got answers to help you get the most out of your learning journey.

Program Overview & Eligibility

What is the GrowthSkale program?
Who is eligible to join this program?
Is prior experience required to enroll?
Is this program suitable for career switchers?
Is there an entrance test or interview?

Curriculum & Learning Experience

How is the curriculum structured?
Is the curriculum theoretical or practical?
How often is the curriculum updated?
Are there live sessions or only recorded content?
Will I work on real-world projects?

Mentorship & Support

Will I receive mentorship during the program?
How do mentors support learners?
What happens if I miss a live class?
Can I ask questions during live sessions?
Is there ongoing support outside live sessions?

Career Support & Placements

Do I receive a certificate after completing the program?
Which institutions issue the certificates?
Are the certificates digitally verifiable?
Does GrowthSkale guarantee placements?
How does the program help with career progression?

Payments, Policies & Technical Requirements

What is the fee structure for the program?
Can I pay the fees in installments?
What is the refund policy?
What is the refund or cancellation policy?
 Do I get access to course materials after completion?
Testimonials

Senior Manager, UK

“The program forced me to slow down and think properly. That alone changed how I lead.”

Consultant, Scandinavia

“This DBA gave structure to experience I already had—but couldn’t articulate.”

Business Leader

“It’s demanding, but intellectually honest. That’s rare.”

Senior Manager, UK

“The program forced me to slow down and think properly. That alone changed how I lead.”

Consultant, Scandinavia

“This DBA gave structure to experience I already had—but couldn’t articulate.”

Business Leader

“It’s demanding, but intellectually honest. That’s rare.”
You’re not enrolling in content.
You’re enrolling in structured support
designed to get results.
For senior professionals advancing executive credibility through a Doctorate in Business Administration.
Hear from professionals applying doctoral research to real organisational challenges.
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