MBA vs MS Business Analytics vs MS Data Science – Tips for Choosing the Right Program – OnlineMacha.com (2023)

Here is the second and concluding part of the blog post series onMBA vs MS Business Analytics vs MS Data Science. In this part, we will look at how each of those programs pits against each other and how to figure out the right program. We will break down the job opportunities forMBA vs Business Analytics. Secondly, we will look at the differences in job roles ofData Scientist vs Data (Business) Analyst.Additionally, we will also discuss the rankings of the bestMS Business Analytics programsin the world andtop 10 MBA programs in the US in terms of placements. Finally, we will look athow to decide the right program and the right universityfor MBA and MS Business (Data) Analytics.

MBA vs MS Business/Data Analytics

I assume the readers have already gone through the prequel of this post. Those who haven’t, here is a refresher – good MBA degrees from reputed schools are still very much valued by the employers. BothMBA and MS Business Analytics are going to co-existas both of them are relevant for the job market.

It’s not like that thenew-age MS programs (Data Science or Business Analytics) are competing with the MBA degrees. As perWullianallur R Raghupathi(Director of the MSc in Business Analytics atFordham Graduate School of Business), it’s a shift. The majority of the business schools agree with that view as well. According toMichael Goul(Chair of the Information Systems Department at theW.P Carey School of Business),business analytics graduates are not going to compete directly with MBA graduates for jobs. Top companies will visit the top-ranked business schools to recruit both MBA and MS Analytics graduates. According toPaul Thompson(Partner,Deloitte Digital), skills in analytics has become really important for business, and theimplementation of digitalization and data analytics is becoming fundamental to business operations.

Companies are basically looking for business school graduates who can leverage data to drive the decisions and decision-making for running the business. There isno biasedness or preference betweenMBA and MS Business Analyticsby the employers. All they are looking for is valuable skills set and relevant degree for a particular job role.

MBA graduateswith a focus on data analytics have the ability to work in a wide range of industries and functions. For example, MBA graduates can work in marketing, given their ability to use data to understand advertising and consumer behavior. Or they can work for a management consulting firm or financial services firm using their skills to analyze risk and incorporated uncertainty to identify profitable customers and determine strategies.

In contrast,MS Business Analytics graduateswill be typically working on more technical roles along with assisting in the business cases, making specific IT recommendations, and finding data-driven solutions. More often than not, the MBA grads are going to be the decision-makers; but, they need to understand the data for making those data-driven decisions.

Be Careful while Choosing the Program & University

Don’t go for MS Business Analytics for the Wrong Reason and/or Misconceptions

All the business organizations, including management consulting firms, banks & financial services, and tech companies, are indeed looking for big data talent. In fact, a recent IDC forecast shows that2018 will see a six-time growth in the big data & analytics job market. Social media platforms are getting bombarded with blog posts and videos on data science, big data, and analytics. With a lot of hullabaloo going around, students and professionals are going crazy after data science and business analytics programs.

Consequently, all these fuelled the mushrooming of the specialized Master’s programs in business analytics and data science all around the world. Don’t forget about online courses that pop up on your screen every time you check your Facebook feed, and the Google Ads saying – “Mater’s in Business AnalyticsNo GMAT or GRE RequiredEnrol Now” when you are searching for MS in Business Analytics on Google. See below!

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Don’t just go by the glamorous websites with claims of working with Fortune 500 companies and/or offering full scholarships, free laptops, dinner coupons, Thailand trips andwho knows what!!!

India is a big market for foreign universities. There are also hundreds of agents and representatives of not-so-elite universities across the country. They organize university events; more often than not you will seeGori Memswith 5-Start Hospitality (sorry, no offense to those ladies).

They will be offering on-spot admissions offers, GRE/GMAT waiver, scholarships, andmy favorite – IELTS/TOEFL/PTE waiver. It’s your responsibility to assess the program.

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There is an increasing number of MS Business Analytics and MBA programs meshed with electives. But, only a few ELITE business schools are able to cater for analytics.

Data Science vs Data Analytics (or Business Analytics)

Data science and business analytics are very inter-related. But,don’t assume that an MS in Business Analytics program will make you a data scientist. According toYehuda Bassok(Chair of the Data Sciences and Operations Dept.,USC Marshall School of Business), theMS in Business Analyticsprogram isNOTaimed to createData Scientists.

The real objective ofMS Analyticsprogram is to produce graduates who can solve Business Problems by implementing Analytics.

Therethere is a significant overlap between the two roles. Adata scientistalways needs to write custom queries and adata analystmay need to build a decision-making module either by simple rules or applying machine learning principles.

Data Scientistswork towardsestimating the unknown,buildingstatistical models, and conducting casual experiments tofigure out the root cause of an observed phenomenon and/or predict the future incidents. In contrast,data analysts(or business analysts) are looking at theknown, i.e. historical data, from new perspectives. They will write custom queries to answer complex business questions, incremental new data acquisition and addressingdata quality issues, such as data gaps or biases in data acquisition.

In thebusiness or commercial context, adata scientistwillidentify new products or features that come from unlocking the value of data. Abusiness (or data) analystwill will work onconceiving and implementing new metrics on capturing previously poorly understood parts of the business or product.

For readers who are keen on being a data scientist, an MS or PhD. in Data Science (or even Computer Science and related fields) will make more sense. Have a look at the infographics byPhil Simon(American University). You might also like to knowhow to get into core data science, machine learning & artificial intelligence.

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The businesses might need aroundone million data scientistsby 2018. As perIBM predictions, the number of jobs for all US data professionals will increase by 364,000 openings to 2,720,000 by 2020. But, businesses do have options for training employees on the job. While companies likeIBMorDeloitteare extensively collaborating with business schools to design MBA & MS programs, companies likeBooz Allen HamiltonandQlikare focusing oncreating data scientists in-house.

Since data science combines analytics with business acumen, much can be gained by targeting employees with domain expertise, in addition to technical prowess. For many organizations, the best use case for data science to add business value remains marketing and technology platforms with high activity levels.

Rather than worry too much about having too few data scientists, we should worry about whether our senior managers are numerate enough and whether we have enough critical thinking skills across the whole workforce.” –Clive Holtham, Professor of Information Management,Cass Business School(Source: Financial Times).

So, don’t follow the data science (or big data) hype blindly.

There are few subtle differences between business analytics and data analytics, but both areas are very much the same nowadays and get used interchangeably. Read more aboutData Analytics vs Business Analytics.

Also Read: GRE Score For Stanford University

Don’t Get into Big Data and Analytics Blindly just because it’s Trending

Similar to the growing number of MS Business Analytics programs, the number of applications is also going high. Like MBA, MS Business Analytics abroad is also NOT for Everyone. The elite and top universities are obviously going to entertain elite and creamelite talent poolof applicants.

Don’t make this common mistake of the following craze blindly:

Big data and analytics are trending. There are too many jobs with huge earning potential. But, I am not too good with Maths and don’t want to do Programming. Hey….. let’s do MS in Business Analytics.

Be careful!!!

If you don’t possess a strong aptitude, quantitative background, and programming skills, MS Business Analytics might not be your cup of tea. The MSBA programs involve computing, statistics, and a decent level of programming, especially at the top universities. Besides, you will still need to have 1 – 3 years of work experience in order to make it to the top universities.

If you are okay with attending a not-so-elite program, you might not need previous analytics experience. But, in order to get analytics jobs at top companies with handsome pay, you will need to acquire those vital skills. Otherwise, consider other specialist programs like MS in Marketing, Finance, Accounting, Economics and stay away from the Analytics roles. Here is a post on career options that do not even require science or maths.

For a good career, just passion and interest are not good enough. You must possess the talent and need to be good at particular tasks.

MS Business (or Data) Analytics – Overview & Case Studies

Course Curriculum of MS Business Analytics at Top Universities

Here is a post by Srinivas Osuri, an alum of theMS Business Analytics programat the Carlson School of Management in theUniversity of Minnesota, and currently employed at McKinsey onwhat you can expect from a Master’s in Business Analytics program.

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So, if you want to shy away from Maths, Statistics, R and Python, run miles away from MS Business Analytics.

Now let’s have a look at theMaster of Business Analytics(MBAn) atMIT Sloan. The program is tailored for current students or recent college graduates who plan to pursue a career in the data science industry, as well as those seeking career advancement or change, especially engineers, mathematicians, physicists, computer programmers, and other high-tech professionals. Apart from theoretical components, the program involves an impressive capstone project as well.

How Competitive is getting into MS Business Analytics at Top Universities?

In 2014, the MS Business Analytics (MSBA) program at theUSC Marshall School of Businessreceived 300 applications in the early round. Guess what, only 18 were admitted in that cohort. At theMcCombs School of Business, the 2017 cohort of MSBA program admitted 53 students. The mean GPA of the class was 3.61 and the average GMAT score was 718.

So, be very prepared for the stiff competition, and work sincerely on your applications.

AtMIT, applicants need to a one-pageResume, twoEssays that include a Personal Statement (letter of motivation) & a recent analytics/data science Project, which should include up to three presentation, a briefVideo Statement(Applicant receives a randomly generated question and has 2 minutes to prepare a 60 second response.).

Additionally, applicants also need to submit test scores (GRE/GMAT and TOEFL/IELTS), three Letters of Recommendation, Official Transcripts – hard copies and soft copies. Lastly, there is an application fee ($150) and an optional component as well, which should not be treated as really optional if you really want to increase your admission chances. Learn more about theMS Business Analytics Application Process at MIT Sloan.

The Application Process will be Intensive & Intellectually Challenging

Best MS Business Analytics Programs in the World

Since MS in Business Analytics program is relatively very new, there are not many ranking tables to get an idea unlike the MBA ranking tables (FT, Forbes, US News, Poets & Quants, Economist, Bloomberg, QS Top MBA et al.). However, QS has recently published their first list of theTop 45 MS Business Analytics programs in the worldin 2017. It’s a good effort. But, as always, it’s just a one data point. Secondly, it’s list of only 45 universities. Whereas, there might be more than hundreds of business schools offering Masters in Business Analytics all around the globe. Before QS, Poets & Quants compiled a list ofMS in Business Analytics Programs at the Top 100 Business Schools. But, rather than programs, it basically lists the business schools and pulls weight from the MBA rankings. TFE Times did a commendable job as it lists the programs. Here is their2018 list of Best Masters in Business Analytics Programs. Unfortunately, both Poets & Quants and TFE lists are limited to the US programs.

The QS list is global. But, it’s a bit hard to digest that not a single program from Canada is there on the list. Whereas, the MSBA programs at UBC, York University, and Queen’s University are actually very good programs with outstanding faculty and strong industry links. So, my personal advice would be looking beyond the rankings, as always. Go for the program content and not just ranking. Those who want to know more about the methodologies about these rankings read the post onQS vs Times vs ARWU. TheBESTprogram is a myth; it’s all about theRIGHTprogram forYOU.

Read howAkshay Prakash, who was initially looking at to do MBA. But, later figured out the right program for him and went on to do MS Business Analytics at Bentley University. Do follow his suggestions on doing extensive research, working with the right admission consultant, and honest process self-reflection. But, don’t try to imitate his stunts of applying for the late deadline rounds.As Sameer Kamat suggested – “Plan your journey well in advance. Hit the road early. Drive safe”.

Don’t go for Brand Names & Rankings Blindly for Pursuing MBA

You need to be very watchful while choosing theright MBA programas well. A foreign MBA could be a great add-on value to your resume, especially if you are doing it from a big brand. But, that doesn’t mean you should chase those brands blindly.Brand name and rankings matter, but you also need to think about the Return on Investment.

When it comes toMBA job placements(getting a job within 3 months after completion of MBA), schools like Temple University & Rutgers beat Wharton & Tuck Business School. Surprisingly, at Stanford GSB, which attracts tons of applications, performs very badly in the placement category. But, that’s also because the MBA students are a bit choosy, and they possibly need a fat paycheque to recover the investments.As I mentioned earlier,ranking tables could be deceptivesometimes.

Also Read: Exclusive GRE Study Materials PDF - FREE Download

Another problem with the ranking tables is the credibility.Rankings not only help the MBA applicants but also the business schools and employers.A top-ranked b-school can attract high-achieving students and dignified faculty members. Many top companies recruit MBA graduates from only the top-ranked schools. Due to all these factors, business schools (not all) and the publications (who publish those ranking tables) often manipulate the data. Again, not all publications. Read more abouthow MBA rankings are losing their credibility.So, you should not go blindly after rankings for choosing the right MBA program.

Focus on MBA Placements

At theFox Business School(Temple University), the course curriculum has been designed after a survey of 300 corporate leaders on what skills MBAs need in order to succeed in the globalized economy. The Career Services help MBA students with their personal development, industry awareness, impression management, networking, and also provide services like resume critiques, interview preparation, and internship/job placement.

In terms of brand and ranking,Kellogg Business School(Northwestern University) is way ahead ofD’Amore-McKim School of Business(Northeastern University). But, in terms of job placements, Northeastern beats Northwestern marginally (96.1% vs 95%). At the D’Amore-McKim School of Business, every MBA student works with a personal career adviser; this is extremely valuable for the international students. Besides, guiding the student with CV, LinkedIn profile optimization & job search, the adviser also assists the students in their networking.

There are many b-schools that offer 1 – 3 months of internship. Quite often students need to find those opportunities on their own, which could be daunting for the international students. In contrast, the D’Amore-McKim MBA offers a unique corporate residency program. It’s a 6-month MBA level position, where students on critical assignments. Thus, the business ensures each and every graduate with 6 months of work experience along with valuable references and a rich network.

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Be Practical and Set Realistic Goals

Lastly, the top 20 – 25 programs (mostly the big brands) are always over competitive. You might have a better chance if you target more reach-schools and one or two big brands. You need to be practical at your end. As mentioned in the first part of this series, people will judge you by your skills and job performance. No one will be that much bothered about the brand names.

If you are scared of criticism, the expectation from family, and peer pressure, it’s time to change your mindset. There are several not-so-popular but good universities. The key is toevaluate yourself and identify the right program depending on your career goals. Know thetips to avoid social pressures while considering higher education.

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The same goes forchoice between MBA and MS Analytics. Applying to (or getting into) MBA at Harvard or Stanford might impress others. But, all you need is the pursuing the right program to acquire knowledge and skill set so that you can be recognized and valued by your employer and management.

There is no point of going after big brands by getting bankrupt. Consider this – few enthusiasts and journalists have been after a legend for years. But, the management and employer know and recognize the legend’s value.

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Do Consider the Post-Study Work Regulations of Respective Foreign Countries

It’s always advantageous to have an encouraging post-study work regulation in the foreign study abroad destination. In theUS, if you are going for an MBA program you will have 12 months to look for a job. MS Business Analytics programs fall under the STEM category. So, graduates can stay back up to 29 months.

In theUK, if you have got solid big data and analytics skills along with 5 years of relevant work experience (as a data scientist or business analyst), you are likely to come under the skills shortage category. So, that will increase the job prospects.

InAustralia, if you are opting for 1-year or 18-month programs, you won’t be eligible to apply for post-study work permit. Your Master’s program needs to be of at least 2-year duration.Canadawould be a nice study abroad destination as there are few elite universities that offer MBA and MS Business Analytics. Besides, Canada also offers a relaxed stay-back option to look for employment.

Francehas got quite a few top business schools –INSEAD, HEC Paris, ESCP Paris, ESSEC, EDHEC, Grenobleto name a few. Additionally, France allows international students to stay and work in the country for 2 years after Masters.

MBA vs MS Business Analytics: Thoughts by Ajay Singh, Founder & CEO Stoodnt, Inc.

MBA and MS – Both are graduate degrees; hence give you specialization in either business area or business analytics. Business Analytics has a huge opportunity given the exponential growth in digital platform and data. If someone enjoys analytics and data, better for them to do MS in Business Analytics unless you get into a top business program. Top business programs give you more flexibility to go in marketing, financial services or a particular area you may be interested in. Here are a few pros and cons for both.

MS in Business or Data Analytics

Pros:Specialization in a technical area, growing area, global applicability, easier to get promoted if good given technical nature of work (not too many Americans or others may be in the area), also has the opportunity to work closely with business functions and can move into it.

Cons:Become a specialist, not generalist. Does not provide general business skilling, many top schools may not have this, does not provide an alumni network as large as MBA programs

MBA

Pros:If done from a top school, gives wider opportunity, brand name, alumni network and ability to apply for a number of jobs after graduation.

Cons:Have to compete with Americans/Europeans if working outside India, need to have a good communication to be successful and become a generalist.

About Ajay Singh:After finishingB.TechfromIIT Roorkee, Ajay did hisMS in Computer SciencefromUT Austin, and later went for hisMBAatHarvard. He has held senior leadership and management positions in companies (American Express, Cendant, IntelandBooz Allen) in the US, India and Singapore. His core expertise lies in Financial Services, Technology, Product Development, Product Marketing, Product Management, Strategy, Reengineering, and of course mentoring, career guidance and admission consulting.

Conclusion

If you are aiming to become a Decision Maker or a CEO, go for MBA from a top b-school (not necessarily to be a big brand) after building the right profile. If you want to become a specialist in analytics (Big Data, Marketing or HR Analytics), then go for MSBA. An MSBA degree will equip you to drive the decision-making, but won’t necessarily make a top decision maker in quick time. Here is a nice infographic bySMB CEO.

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On an average,MBA degrees will pay you more than an MS in Business Analytics degree. MBA programs are designed to make you well-rounded professional along with equipping with a wide range of skills across multiple disciplines. But, MS program can be finished in quick time (12 – 18 months) at a much cheaper cost. When it comes down to choosing between MBA and MS Business Analytics, you need to reflect on your existing skills and career goals.

FAQs

Which is better MS in data science or MS in Business Analytics? ›

A business analytics curriculum puts an emphasis on prescriptive analytics, while a data science curriculum will focus more on predictive modeling. Operations research is a key component in prescriptive analytics and programs in business analytics are better suited than data science programs to leverage this component.

Is MBA in business analytics and data analytics same? ›

Data analysts are more likely to work independently while business analysts need to work directly with people in different departments and roles. The end goal of data and business analysis is the same. These fields both work to improve businesses by leveraging data.

Is MBA a good option for a data scientist? ›

MBA in Analytics and Data Science is a perfect mix of technical and non-technical skills. It includes topics like communication, statistical methods, different programming languages, and analytical tools in its curriculum. Data science is a research-based field, and it is used in various industries and businesses.

Which MBA is best for data analytics? ›

Top Business Schools for Business Analytics and Big Data 2022
  • Tepper School of Business, Carnegie Mellon University (CMU) ...
  • Georgia Institute of Technology - Scheller College of Business. ...
  • Emory University - Goizueta Business School. ...
  • NUS Business School, National University of Singapore. ...
  • Imperial College Business School.

Should I do data science or business analytics? ›

Data Science is a superset of Business Analytics. So, a person with Data Science skills can do Business Analytics but not vice versa. Data Science being a step ahead of Business Analytics is a luxury. However, Business Analytics is mandatory for a business to understand the working and gain insights.

Should I study data science or business analytics? ›

Business analytical roles tend to be more strategic, whilst data scientist roles are more technical. Business analytics is very specific to working in the business industry, whilst data science is much more broad and can be applied elsewhere.

Who earns more data scientist or business analyst? ›

Data Scientists have more education and a higher degree of specialization, and so they typically command a higher salary than Business Analysts.

Who earns more data analyst or business analyst? ›

The average data analyst's salary could go up to $72,250 per year. It also depends on the company, job role, and geographical location matters. A data business analyst's salary is typically higher, averaging $78,500/year. Again, the candidate's skillset, profile, company brand, and location factor in.

Should I do MBA or Masters in business analytics? ›

For a career in the data science industry, MS in business analytics will be the best decision. While to broaden their points of view, MBA will be the most ideal choice.

Can I be a data scientist after MBA in Business analytics? ›

Scope of data science as a vertical

Graduates of master's in business administration programs often specialise in data analytics and data science and are employable in many fields. MBA grads may succeed in marketing if they can effectively utilise data, comprehend advertising, and interpret consumer trends.

Which Specialisation is best in data science? ›

A Detailed Guide to Best Data Science Specialization Courses in 2022
  • Statistics.
  • Python. Python is a computer programming language used primarily for web and application development. ...
  • Artificial intelligence. ...
  • Deep learning. ...
  • Machine learning.
20 Jul 2022

Which master degree is best for data analyst? ›

Students with a bachelor's degree wishing to prepare for a career in the emerging global opportunities in data analytics should apply to the Master of Science in Data Analytics and Business Statistics program.

Which company hires MBA in Business analytics? ›

While numerous companies hire MBAs in Business Analytics, here are the top few:
  • HCL.
  • KPMG.
  • Wipro.
  • Google.
  • Deloitte.
  • Infosys.
  • Amazon.
  • Reliance.
23 Aug 2022

Does MBA in business analytics need coding? ›

While the ability to program is helpful for a career in analytics, being able to write code isn't necessarily required to work as an analytics professional. Apart from the above languages, statistical software such as SPSS, SAS, Sage, Mathematica, and even Excel can be used when managing and analyzing data.

Is an MBA in Business analytics Worth it? ›

A master's in business analytics is worth the investment if you want to learn how to use and interpret data to solve complex business problems, you want to increase your decision-making power at your organization, and you choose the right program—one that that provides you with the ability to not only do the technical ...

Can a business analyst switch to data scientist? ›

The role of a data scientist can be a natural transition if business analysts start to delve deeper into the data and bridge the data relationship across several systems within an organisation.

Which is better big data analytics or business analytics? ›

Business analytics focuses on one core metric and that is the financial and operational analytics of the business. On the other hand, 'Big data' analytics helps to analyze a broader range of data coming in from all sources and helps the company to make better decisions.

Can I become a data scientist with a business analytics degree? ›

With an increasing need for Data Analysts in the industry, Business Analysts may consider making a career transition to a Data Scientist role. If you're a Business Analyst, you're already at an advantage in comparison to other professions.

Is business analyst easier than data analyst? ›

Business analysts must have at least a working knowledge of the technology involved in analytics, though the need for hard technical skills is generally lower than for data analysts.

Which data analyst has highest salary? ›

The top 5 highest paying jobs as Data Analyst with reported salaries are:
  • senior analyst - ₹27lakhs per year.
  • lead consultant - ₹24lakhs per year.
  • retail data analyst - ₹21lakhs per year.
  • analyst - ₹20lakhs per year.
  • big data analyst - ₹19lakhs per year.
18 Nov 2022

Is data analytics a stressful job? ›

Several data professionals have defined data analytics as a stressful career. So, if you are someone planning on taking up data analytics and science as a career, it is high time that you rethink and make an informed decision.

What is the salary after MBA in Business analytics? ›

MBA in Business Analytics

5 – 8 lakh p.a., experienced professionals in the field can earn between Rs. 10 – 18 lakhs p.a. Those at a senior level can draw a salary between Rs. 30 – 55 lakhs annually.

Can I become data analyst after Masters in business analytics? ›

While a bachelor's degree is the most common entry-level qualification, some companies look for candidates with a master's degree in data analytics or a related field. A 2017 study by IBM found that six percent of data analyst job descriptions required a master's or doctoral degree [2].

Can I do MBA after MS in Business Analytics? ›

Yes, you can do MBA after MS but it is important to know that MBA and MS are two diverse master's programs. MS is focused on Science, Tech and Engineering courses as well as research-oriented specialisations. MBA is a professional course with numerous benefits from business exposure, personality development, etc.

Which MBA specialization has highest salary? ›

According to the BLS, some of the highest-paying management occupations related to MBA concentrations include computer and information systems management, financial management, marketing management, and human resources management.

Is data science in demand for next 10 years? ›

Employment of data scientists is projected to grow 36 percent from 2021 to 2031, much faster than the average for all occupations. About 13,500 openings for data scientists are projected each year, on average, over the decade.

Which field is best for data analyst? ›

‎ Most entry-level data analyst positions require at least a bachelor's degree. Fields of study might include data analysis, mathematics, finance, economics, or computer science. Earning a master's degree in data analysis, data science, or business analytics might open new, higher-paying job opportunities.

Is data science a good career in 2024? ›

Over the coming decade, data science is growing to provide an array of work opportunities. Because the supply is low, this is the right call for professionals seeking skills in this area.

Can MBA be data analyst? ›

Master of Business Administration [MBA] (Data Analytic) - Latest Notifications. MBA Data Analytics provides training to the students for converting semi-structured, Big Data structured or unstructured data into useful insights that help in operational and strategic decision making processes.

Do data analyst need MBA? ›

Expand skills

If you want to shape your career as a data analyst, the first thing that you will need is technical and non-technical skills. An MBA in Business Analytics will help you brush up your skills in this field.

Does data analytics require coding? ›

Some Data Analysts do have to code as part of their day-to-day work, but coding skills are not typically required for jobs in data analysis.

Which MBA specialization is best for business analyst? ›

The best Business Analyst Certifications are: Business Analytics Certification Program. MBA (Executive) with Specialisation in Business Analytics.

Can B Com students do MBA in Business analytics? ›

Yes, Commerce students can opt for Business Analytics and Data Science from IIM Bangalore. Your domain knowledge of Finance and Commerce will help you get good career opportunities in Financial Analytics.

Can I do MBA in business analytics with non IT background? ›

Technical expertise is highly preferred but not mandatory

However, this doesn't mean that those from non-IT fields cannot foray into Business Analytics. Basic technical skills can always be learnt if you have the inclination and enthusiasm.

Is business analytics math heavy? ›

Contrary to popular belief, business analytics does not involve extensive coding, math, or knowledge of computer science. It's a great career fit for those who enjoy solving complex problems and offering practical conclusions based on real business data.

Can I do MS in Business Analytics without work experience? ›

What are the requirements that students must meet to pursue their MS in Business Analytics? Work experience is not necessary to pursue an MSBA program. The programs are usually structured to cater to people from all backgrounds and all levels of work experience, unlike an MBA program where work experience is a must.

Is SQL required for business analyst? ›

With big data and relational databases being the new norm for most companies, SQL knowledge is a prerequisite for almost any business analyst job.

Is there maths in MBA business analytics? ›

business analytics does not involve extensive coding, math, or knowledge of computer science. It's a great career fit for those who enjoy solving complex problems and offering practical conclusions based on real business data. You do not need to be a maths or coding genius to be a business analyst.

Is business analytics high paying? ›

The national average salary for a Business Analytics is ₹7,98,237 in India. Filter by location to see Business Analytics salaries in your area. Salary estimates are based on 14 salaries submitted anonymously to Glassdoor by Business Analytics employees. How accurate does ₹7,98,237 look to you?

Is MS in Business Analytics worth in us? ›

Master's in business analytics in the USA is one of the best STEM (science, technology, engineering, and mathematics) programs, offering the benefits of extended post-study work visas, excellent research opportunities, and lucrative job prospects.

Is an MS in Business Analytics Worth It? ›

An MSBA is a particularly valuable addition to your skills package if you want to grow your career. In fact, if a professional doesn't pursue a master's degree at the mid-level career stage, it's almost essential to pursue one in preparation for senior leadership roles.

Is MS in Business Analytics a good career? ›

A master's in business analytics is worth the investment if you want to learn how to use and interpret data to solve complex business problems, you want to increase your decision-making power at your organization, and you choose the right program—one that that provides you with the ability to not only do the technical ...

Can you become a data scientist with a business analytics degree? ›

Data Scientist: Education and Work Experience. To become a data analyst or data scientist, it may benefit you to obtain at least a bachelor's degree in a quantitative field such as mathematics, statistics or computer science. But some analysts may have a bachelor's in business with a focus or concentration in analytics ...

Can I switch from data analyst to business analyst? ›

If your question is, can a data analyst become a business analyst? Well, a data analyst can, over time, switch to the role of a business analyst.

Should I do MBA or Masters in Business Analytics? ›

For a career in the data science industry, MS in business analytics will be the best decision. While to broaden their points of view, MBA will be the most ideal choice.

Is a Masters in Business Analytics worth it 2022? ›

Yes, a masters in business analytics degree is worth it for many students. The Bureau of Labor Statistics is projecting 5% job growth in business and financial occupations over the next 10 years.

Is a masters in business analytics better than an MBA? ›

In order to choose the right program for you, weigh whether you want to specialize in data and analytics or gain general management skills. If you are leaning towards specializing you may want to pursue an MSBA. If you want to build your business management skills, an MBA may be a great option for you.

Does MS in Business Analytics need coding? ›

While the ability to program is helpful for a career in analytics, being able to write code isn't necessarily required to work as an analytics professional. Apart from the above languages, statistical software such as SPSS, SAS, Sage, Mathematica, and even Excel can be used when managing and analyzing data.

Is there a lot of coding in business analytics? ›

That said, coding does not make up a big part of most Business Analysts' typical day; while they need to be familiar with a broad range of tools and platforms, coding isn't necessarily a hard requirement.

Can a Masters with business analytics become a data scientist? ›

The obvious choice for a graduate with a degree in business analytics would be to work as a data scientist or a management analyst.

Can I be a data scientist after MBA in business analytics? ›

Scope of data science as a vertical

Graduates of master's in business administration programs often specialise in data analytics and data science and are employable in many fields. MBA grads may succeed in marketing if they can effectively utilise data, comprehend advertising, and interpret consumer trends.

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