Data Analytics Management involves the process of managing and directing how the data is gathered, analysed, interpreted and used in an organisation. It includes strategic management of data analytics projects to ensure efficient processing of data to produce actionable insights. Data Analytics Management involves planning data infrastructure, formulating data-driven strategies and managing teams specialising in interpreting complex data sets. 

Good data analytics management is meant to maximize decision-making through the utilization of correct data insights to inform business objectives, optimize operations, and enrich customer experiences. It also needs to know several analytical tools and techniques ranging from descriptive and diagnostic analytics to predictive and prescriptive models. Additionally, it makes sure data governance practices are implemented to ensure data quality, privacy, and security. Through alignment of data analysis with business goals, data analytics management enables companies to remain competitive and innovate in their fields.

BBA in Data Analytics is a three-year postgraduate degree that teaches the student how to convert semi-structured, big data or unstructured data into actionable insights, allowing operational and strategic decision-making. The course embraces major topics associated with data analytics. The applicant can gain applicable and value-driven learning from the program, enriching the premise of data research and analytics. The course emphasis is on both the theoretical and practical aspects of data management and analysis. Besides data analytics, the course also has a concentration on business accounting. 

For admission, candidates appear for the entrance exams at the national and state levels. Very few universities admit the candidate based on the merit scores obtained previously from some other higher education.

To be eligible for this program, an applicant must have passed class 12 in any field and from any board and school with a minimum of 50%. For these students, BBA jobs pay between ₹4.50 lakhs per annum and ₹10.50 lakhs per annum. The highest package of a BBA graduate in Data Analytics can go up to ₹ 35.92 lakhs per annum. The package depends on the college and the student's skills and knowledge. The average fees for the BBA in Data Analytics course are ₹ 3.83 Lakhs - ₹ 25.28 Lakhs. Data analysts, data engineers, business analysts, data scientists, data analytics consultants, risk analysts and healthcare data analysts are available positions for BBA data analytics graduates.

MBA in Data Analytics educates students on how to translate semi-structured, extensive data or unstructured data into actionable insights that enable operational and strategic decision-making. The two-year postgraduate course covers significant subjects concerned with data analytics. The candidate can derive applicative and value-based learning through this program, strengthening the foundation of data research and analytics. This course teaches the theoretical and real-world applications of data management and analysis. Other than data analytics, the course also focuses on business accounting. 

What is Data Analytics Management 

Merging data analysis technical knowledge with strategic business administration knowledge in Data Analytics Management equips students with the ability to make informed decisions in a dynamic corporate world. The curriculum of the program named Data Analytics Management incorporates major subjects like data management, statistical modeling, machine learning and data visualization, apart from highlighting leadership, decision-making and strategic thinking. Students in this two-year postgraduate course gain mastery over different analytical tools.

A Data Analytics Management program for professionals can read difficult data, spot meaningful information and apply data-driven solutions that can make a company more efficient. Data Analytics Management sacrifices career prospects in other sectors, including consulting, marketing, healthcare and finance, where data is being used more to drive growth and inform company strategies. This is done by merging analytical approaches with business strategy. This program trains the students on topics like information security in business, cloud computing, e-business, predictive analytics, data visualization, decision-making systems, and Python for marketing analytics.

The process of collecting, analysing and utilising data to make improved decisions is called Data Analytics Management. It is a process that involves gathering data from various sources, such as websites, surveys or sales transactions and then structuring it in a format that is easily comprehensible. The data is then analyzed to determine patterns, trends and information that are useful for businesses to enhance their operations. This data can assist businesses in making better decisions, for example, knowing which products to prioritize or knowing what the customers want. Data Analytics Management also involves leveraging applications and software to assist in managing and analyzing the data effectively. In other words, it's about applying data to fix issues, enhance strategies and make better decisions. Successful data analytics management is important for companies to remain competitive and thrive in the data-driven era of today.

Syllabus 

Nowadays in today’s data-driven environment, businesses mostly rely on data analysis to make strategic decisions, which are important for the development of the company and also for increasing the overall revenue of the firm. Organisations make well-informed decisions with the aid of data analysis. The program helps study and grasp the comprehensive material in the data analyst course syllabus. 

Skill development 

A degree in Data Analytics Management helps develop a range of valuable skills. First, it builds strong analytical abilities, enabling individuals to interpret complex data and identify trends or patterns that can drive decision-making. Students also learn how to use various tools and software for data collection, processing, and visualization, such as Excel, SQL, Tableau, and Python. Additionally, problem-solving and critical thinking are emphasized, as students learn to approach business challenges with data-driven solutions. Effective communication skills are also honed, allowing graduates to present findings clearly to both technical and non-technical audiences. Moreover, they gain expertise in managing data projects, including understanding how to ensure data quality, security, and privacy. Leadership and team collaboration skills are enhanced, as many programs include group projects. Overall, a degree in Data Analytics Management equips graduates with the technical, analytical, and communication skills needed to excel in the data-driven business world.

Career Prospects 

A Data Analytics Management degree brings forth a large number of job opportunities in today's data-reliant economy. Graduates can work as Data Analysts, Business Intelligence Analysts, Data Scientists, and Data Engineers, where they study and analyze complex data and deliver useful information for businesses to act upon. These jobs are highly sought after in many different industries, ranging from healthcare, finance, marketing, and e-commerce. With data having an important influence on decision-making, data analytics professionals are required to assist companies in maximizing operations, enhancing customer experiences, and stimulating innovation. For those who possess good leadership qualities, career opportunities reach as high as Data Analytics Manager or Chief Data Officer roles, where individuals manage analytics teams and data strategies at a senior level.

In addition, data analytics professionals can seek opportunities in new areas such as artificial intelligence, machine learning, and big data, where the demand for experts is increasing day by day. Analytics consultants are also being sought by many companies to implement data-driven initiatives. In general, a Data Analytics Management degree provides varied and high-paying career options in a fast-growing field with opportunities for specialization, advancement, and growth across different industries.

Future Scope 

Presently, observing the Indian market there are different career opportunities for a Data Analytics Management program. Degree holders tend to be hired by media company outlets in media businesses, insurance companies and insurance businesses, IT companies and banking industries to work on the management of their data services as well as at multinational companies in their insurance departments. The course would equip the student with a fundamental understanding of numerous data and insurance subjects and introduce the students to numerous global financial contests. While the data analytics concentration will refine students’ knowledge of topics such as predictive analytics and using artificial intelligence in data mining, the MBA core courses will emphasize building hands-on skills in project management and other business administration essentials tools.

The future scope of having a degree in Data Analytics Management is vast and bright as companies will have data-driven decision-making to play an important role in almost every industry. Nowadays businesses are relying on data to optimize operations improve customer experiences and drive innovation. This will lead to an increase in the demand for professionals who are skilled in managing and analysing data.

Also, the degree in Data Analytics Management will open the doors to many career paths such as data analyst, business intelligence analyst, data scientist and even numerous roles in management and leadership where graduates handle data strategies for large organisations. All the different industries such as healthcare, finance, marketing, e-commerce and many others continue to expand their reliance on data. That is why experts and graduates skilled in data analytics will be crucial in helping them make informed and evidence-based decisions. 

The most general areas in which students opt for their careers are data consultancy, data science, data analysis, data consultancy, business analysis, risk analysis or healthcare data analysis. In addition to these, students may opt for jobs in good colleges as lecturers or professors. The top companies that hire for high-paying jobs are Wipro Technologies, Cognizant Technology Solutions (CTS), Deloitte, Mahindra Satyam, PayPal, Dell, HCL Technologies and Infosys.

The increasing impact of modernisation and software technology like artificial intelligence and machine learning are creating new opportunities for data analytics management professionals. This allows professionals to work with edge-cutting technologies. The future of the job market will have more growth in roles that require a combination of technical skills and the ability and skill to manage large-scale analytics projects. In totality acquiring a degree in Data Analytics Management can lead to a rewarding career with diverse working opportunities in a fast-paced evolving field where data is the key to success and innovation. 

A degree in data analytics management is the best choice for professionals or students who want to gain both general business and advanced data expertise. This degree can be the ideal choice for those working in positions such as business analysts, marketing managers or IT practitioners. These IT people have to make strategic decisions based on data. Leaders aspiring to initiate data-driven innovations, streamline operations or create better customer experiences will gain tremendously. Also, those with an engineering, finance or technology background seeking to shift into leadership positions in analytics-based industries can opt for this degree. 

Entrepreneurs can also choose to take this degree and need to leverage data to grow their businesses efficiently. In today’s data-driven world, industries flourish on data analytics. This field offers a great career opportunity for someone good at mathematics, accounting and Python. People who have studied computer science and programming languages will have a chance to excel in this program. Students who want a managerial job involving their Python skills are suited for a career in this. This will benefit students who have a talent for complex, unstructured and raw data and those who like to play with numbers. A significant part of this is predictive modeling, tools for data visualization and coding skills.