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IIKM Data Analytics

Why An MBA With Specialisation in Business Analytics Can Be A Game Changer For Non-Tech Graduates

As more organizations embrace digital transformation, the need for analytics expertise has grown sharply. Today, identifying analytics talent has become a top priority for every company and thus career opportunities in Business Analytics are on a rise. Data from our 2018 report estimates that the Analytics, Data Science and Big Data industry in India amounts to $2.71 billion annually in revenues. In 2019, the analytics industry has grown to $3.03 billion and is expected to double by 2025. Analytics functions have experienced tremendous job growth in 2019 with almost a 45% jump in open job requirements, compared to a year back.

Usually, when we talk about the data and analytics field, we think of highly computational professionals or statisticians/data wizards with core competencies in SAS, R, and Python. But there is also a growing need for analytics consultants or “translators” who understand both business and analytics, can liaise with clients, understand their requirements and communicate these requirements to product teams. These business-focused roles operate at the intersection of domain knowledge and analytics and require light quant skills.

How An MBA With Specialisation In Business Analytics Adds Value To Your Profile 

Working professionals who want to transition to executive-level roles need to learn how to operate and lead complex business environments. In addition to that, they also have to make data-driven decisions in their day-to-day role. Today, core analytics skills like reporting, SQL, Python have become an important part of management and consulting positions. A majority of employers require business school graduate with data-driven skills to fill marketing, finance, data and analytics roles. Data from a leading jobs portal indicates Analytics Managers report a median salary of has a median annual salary of 11.5 lakh with an upper limit of 24 lakh per annum. Besides the professional value of getting an MBA from a top-ranking B-school, a management degree with Business Analytics can give one a competitive edge in the market and open doors to a fulfilling career in analytics.

IIKM launches MBA With Specialisation In Business Analytics   

IIKM’s MBA (Executive) with Specialisation in Business Analytics, allows professionals to kick-start their career in Business Analytics without losing out their earning potential. The 24-month  programme enables students to gain a specialization in an in-demand field with a promising career trajectory. You will get a chance to learn tools, skills and domain knowledge in high-growth verticals like finance, operations and supply chain and marketing which would allow one to take up analytics-oriented leadership roles in the industry. 

Importance Of Business Analytics

  1. Analytics has become a trending topic in business circles and companies are showing a great demand for data-driven managers, who can analyze data to inform business strategy and take effective decisions 
  2. Our data clearly hints a 2% increase in analytics jobs offering more than 15 lakh per annum. However, the demand clearly outstrips supply with organizations facing a huge talent gap
  3. Divided into 4 modules, the comprehensive program covers key topics like Python, Tableau, Business Statistics, Marketing, Web & Social Media Analytics, Risk and Fraud Analytics, HR analytics to make one a holistic leader.  

Outlook

MBA degrees need to marry both core management skills and analytics to ensure professionals gain the right skillset which aligns with the current industry demand. As more and more businesses, even large conglomerates start integrating emerging technologies into their portfolio to stay competitive, there is a greater demand for data-driven managers. IIKM’ MBA (Executive) programme allows students to fulfil career goals and transition into the buzzing analytics field without leaving their current job.

Course: MBA (Executive) with Specialisation in Business Analytics 

Duration: 24 months

Delivery: Offline 

Core Skills: Core Management skills and application of analytics in conjunction to them: Finance, Marketing, Economics, Human Resources, Operations and Supply Chain, Machine Learning, and Big Data Technologies

Fee: 3,75,000

Eligibility Criteria: Bachelor’s degree (10+2+3) in any discipline from a recognised university with minimum 50% marks and 2-3 years of work experience OR, Bachelor’s degree (10+2+3) in any discipline from a recognised university with minimum 50% marks and a post graduation / professional degree with minimum 50% marks and 1-2 years of work experience

IIKM Business Analytics

Upskilling is key to meeting the demand for analytics talent

Hyderabad / Bengaluru:

An exhaustive Nasscom-Zinnov report released last year flags a huge talent demand-supply gap in the artificial intelligence (AI) and big data analytics (BDA) family of jobs.

By 2021, the total AI and BDA job openings in India is estimated to go up by 2,30,000. But the fresh employable talent or university talent available will be just 90,000, leaving a huge gap of 1,40,000. “With the world moving towards being a data- and analytics-driven platform, to have a data scientist is highly important for each corporate,” says Kalyan Muppaneni, chairman and CEO of Pi Datacenters, an Andhra Pradesh-based IT & services firm that delivers futuristic data center and enterprise cloud services. “But to find relevant data scientists, with real-world experience, is very difficult. This may be because data science is still not a curriculum in most universities,” he says.

A report by LinkedIn last year pegged a data scientist’s role as the fifth top emerging job in India. “The demand for data scientists is increasing significantly across all types of companies — GCCs (global capability centers of MNCs in India), startups, IT-BPM companies, and other enterprises. Additionally, an increase in global demand for these skills is also expected to reflect across organizations in India,” the report says.

The talent dearth emphasizes two factors: The importance of having continuous, career-learning programs, and ensuring adequate skilling before fresh talent moves to the job market. “The data and AI domain are growing rapidly. A large number of experienced professionals (midcareer techies) are upskilling themselves and this trend is set to continue for a while since the skill gap shows no signs of being closed any time soon,” says Anand Narayanan, chief product officer at edtech firm Simplilearn.

A Nasscom report identifies mid-career professionals as an adjacent talent pool — a large segment of talent supply that can be trained to work on AI and big data analytics. “Talent adept in software development, databases, and other relevant skills, despite lacking direct AI and big data analytics capabilities, can be upskilled to the desired roles,” it says.

Prof Kamal Karlapalem, head of the data science and analytics center at IIIT-Hyderabad, says companies such as Google, Amazon, and Microsoft are providing commodity software for easing the development and deployment of data science solutions. Education for data science, he says, will move towards training on commodity software, and domain comprehension for specialized analytics. “What SQL was forty years back, commodity data analytics systems is now,” he says.

IIKM Data Scientist
Big Data Engineer

Source: This Article Has Been Taken From The Hindu Newspaper, To Give Some Exposure to the Students.