(‘The Right Choice’ is a series by The Indian Express that addresses common questions, misconceptions, and doubts surrounding undergraduate admissions. You can read the stories here.)Businesses today are changing because of global market conditions and due to technological growth. Traditional MBAs and specialised MBAs allow professionals to develop expertise in their chosen fields, such as marketing, finance, or technology. This approach is seen to have enabled 21st-century professionals to take on sector-specific challenges. With the increasing technology in the business world, two specializations that rise above the rest are MBA – AI in Business and MBA – Information Technology. Let’s find out which one is good to choose. MBA – AI in business MBA is ideal for learners aiming to specialize in the implementation of AI technologies to unravel intricate business problems. As part of the curriculum, candidates start with a solid foundation in business management, comprising core modules in leadership, marketing, operations, and strategy. As they progress, they delve into specialized modules such as AI Fundamentals, Machine Learning, Data Analytics, Natural Language Processing, and Business Intelligence.Additionally, the curriculum may incorporate modules on the ethical implications of AI, data privacy laws, and AI-led decision-making in real-world scenarios. Practical applications of AI in various sectors like finance, marketing, and supply chain management are also emphasized via case studies and hands-on projects.MBA – Information TechnologyDesigned for candidates who are passionate about bridging the gap between IT and organisational strategy, the course addresses technical aspects along with their strategic implications in business operations. The curriculum usually commences with foundational modules in management, accounting, marketing, economics, and organizational behavior. In due course, one dives deep into IT-specific modules such as Information Systems Management, IT Project Management, Enterprise Resource Planning (ERP), and Digital Transformation. Other key modules often include Cloud Computing, Cybersecurity, Big Data, and IT Strategy. Weightage is given to learning how technology can be integrated into business processes to improve efficiency, channel innovation and support competitive advantage. Aspirants also develop leadership and managerial skills tailored to the IT sector to lead tech-driven projects, manage IT teams, and align technology with business objectives. The programmes often includes practical components, such as internships, capstone projects, and exposure to emerging technologies like blockchain and IoT. Job roles in the market: MBA AI in Business vs MBA Information TechnologyJob profiles such as Data Scientist, ML Engineer, and AI Research Scientist, among others, are open for MBA holders in AI. Since this is a relatively new field, it offers a competitive advantage in the current job market. Graduates can go for roles in AI strategy, business analysis, and product management, along with the implementation of AI across diverse industries such as healthcare, retail, or finance. In the foreseeable future, the demand for workforce in this domain is bound to increase as they will be instrumental in binding AI technology with business needs. Story continues below this adRoles like Data Science Manager, Technology Consultant, and Business Analyst are relevant in this field. It is a versatile domain of study, assimilating core principles of finance, marketing, and operations with an emphasis on IT. Largely, it prepares aspirants for technology management, IT consulting, and digital transformation. Hence, those aiming to hold higher-level managerial positions must consider it.Future prospects: MBA AI in Business vs MBA Information TechnologyMBA – AI in Business is a high-demand, high-growth sector, especially since global economies are increasingly relying on its potential to automate and drive processes. Positively, a report by the U.S. Bureau of Labour Statistics reveals that Data Science will create roughly 11.5 million job openings by 2028 worldwide. Likewise, leading tech giants as well as consulting firms are recruiting AI specialists today. A range of start-ups and organisations too are keen to employ AI consultants to augment operations. Placements are therefore abundant, particularly for those with strong technical acumen in ML, Deep Learning, or Big Data analytics. Likewise, the uptick of AI-driven start-ups and fin-tech companies suggests that graduates will attain opportunities to work on innovative projects. As AI’s integration becomes a necessity, job roles will intensify in non-tech sectors. As MBA in information technology offers a promising avenue, one is likely to manage teams, budgets, and technology initiatives. The U.S. Bureau of Labour Statistics states that the employment of computer and information systems managers alone is estimated to rise by 15 per cent from 2022 to 2032, a growth rate much faster than the average for all occupations. In line with this, one can find suitable positions across industries, including technology firms, consulting companies, financial institutions, and corporations. However, graduates in the said domain may have to face competition from individuals with extensive experience or other business qualifications.Story continues below this adChoosing the right specialisation: MBA AI in Business vs MBA Information TechnologyThose contemplating which one to pick among the two MBA specializations must evaluate the following points:–If you are passionate about the potential of AI and its versatile capabilities, an MBA – AI in Business might be the right fit for you. Conversely, an MBA – Information Technology could be the better choice if you are more inclined towards handling IT infrastructure and digital transformation in organizational set-ups. — Consider whether you see yourself leading AI-driven initiatives or managing IT systems and teams.Story continues below this ad— Evaluate how curricula for each of the two specializations align with your long-term professional objectives. To conclude, MBA – AI in Business is ideal for those looking to integrate AI technologies into business strategies, with roles in data science, AI research, and product management. Graduates can expect openings in pioneering AI-driven projects and industries looking to harness the power of ML and Data Analytics. On the other hand, an MBA in Information Technology focuses on bridging the gap between IT and Business Strategy. It is suited for those aiming to manage tech-driven projects, lead IT teams, and pair technology with business goals.To stay ahead of the curve, aspirants ought to stay updated on emerging technologies, industry trends, and new job roles to make an informed decision. As both MBA specializations offer exceptional career prospects, the verdict must hinge on personal strengths, career ambitions, and interest in either technology-driven business solutions or strategic IT management.(Firoz Thairinil is the founder and chief executive officer of UniAthena)