Its great to know youre interested in the IT/Software/Analytics Service Sector. What I would suggest you is after B.Sc. in Mathematical Sciences, you must pursue MCA from some of the Best NITs or Top Public or Private Universities having strong Placement Prospects. Especially the NITs, you need to ace the NIMCET Examination followed by securing Admission in MCA, and hence a strong career in the IT/Software/Services Industry.

Other Option could be pursuing a M.Sc./MS in Quantitative Economics, Mathematics & Statistics or Computational Sciences from Eminent Institutes like ISI Kolkata and its branches like ISI Delhi. ISI Kolkata and New Delhi, really have Good Placements. And after M.Sc. or after some years of Work experience post M.Sc., if seriously interested, you may even pursue M.Tech in CS/Mathematics & Computing/ Data Science from some of the Top Institutes in India.

Hello candidate,

Some of the best career opportunities options for a data scientist are- Business Intelligence Analyst, Data Mining Engineer, Data Architect, Data Scientist, Senior Data Scientist, etc.

Some of the best countries considering both job opportunities and payment criterias are Germany, UK, France, Netherlands, Spain, Italy, and Switzerland.

Hope you found it helpful!!

hi,

see it does not matter which of the streams you may belongs to. if you have the skill needed for data science then you can be a data scientist. Its fine that at school level or bachelors level you did not study math or statistics. but there is several course in coursera, edx for beginners who are new in data science field. however it is always best if you have good concept on probability and statistics of primary level to begin your learning sessions of data science.

key skill to become a  data scientist is as follows:

Statistics.

At least one programming language – R/ Python.

Data Extraction, Transformation, and Loading.

Data Wrangling and Data Exploration.

Machine Learning Algorithms.

Advanced Machine Learning (Deep Learning)

Big Data Processing Frameworks.

Data Visualization.

Dear Aspirant,

to pursue Data Science as a career, you will first require a Bachelor's degree in the stream of either Computer Science, Information Science or Information Technology. Along with this you can do a few other courses and do internships to get an outside perspective of how the world of data science works. Upon completion of your Bachelor's degree you can try to look for a job in the field or even go for your Master's degree to get more knowledge and exposure of the stream.

Both the fields is at its peak. So if you can pursue any of the field then you will get a great opportunity of jobs as well as research.

So there are no difference in terms of employability but the subject matters will differ and you have to understand your interest to choose the perfect course for you.

Software Engineering is the engineering to design and increase efficiency of software. This field needs a good amount of coding as you can understand and can be really interesting if you want to work in the field of Software, App development etc.

Data Science is a newly emerging field having a composite of Computer Science, Neural Networks, Statistics and Discrete Mathematics. The purpose of the course is mainly to find trends and to forecast conclusion from the data. Data Science is also associated with Data sequencing having multiple applications in:

• Artificial Intelligence
• Genomic Science
• Astronomy and Astrophysics
• Economics

and many more.

Now depending on your interest you can choose the field. There are no scarcity of jobs in any of the fields.

To know more about DATA SCIENCE you may visit the link below:

https://www.careers360.com/careers/data-scientist

To know more about SOFTWARE ENGINEERING you may visit the link below:

https://www.careers360.com/careers/software-engineer

I hope my answer helps. All the very best for your future endeavors!

Hello Aspirant,

Hope you are doing well !!

To become a Data Scientist :-

You should improve your mathematics skill, some topics like Statistical methods and probability theory, Probability distributions, Multivariable calculus, Linear algebra, Hypothesis testing, Statistical modeling and fitting, Data summaries and descriptive statistics, etc. you should learn programming language like Python, R, etc. you should work on some projects, Need to work hard. Start with Data analysis.

I hope this this information will help you.

All the best for your bright future ahead.

hi,

see all of the work position you have mentioned is different slightly from one another and it depends on the organizations and the work load may differ as per organization wise. so it can not be predicted which of the course would bring a good salary, as a fresher you may expect 3.5-4 lpa job in any of the discipline. but the candidates who are well versed in programming and belongs to top institute like vit vellore, nits , JU may brags 6lpa + package at the starting of career.

so work on your skill and practice every day.

Hello candidate,

Any Professional or any employee who works more than his regular duty hours is eligible to get overtime salary for his additional part of work. scientist and data engineer have to spend a large amount of time to enter the data and balance their tally and work over nights commonly, eligible for more overtime salary on a general basis.

Have a good day.

Hello STudent

Yes speaking is important for data engineer or data scientist. Most of the people of this field are feel nervous to talk with many people as they have to present their new model or or new thought of ideas for presentation. Most of the cases they feel nervous about the the new thoughts to implement in ideas expression. So speaking and communication skill with others in public or in private  has great importance in a field of data engineers and data scientist job environment.

Hope this helps.

Hi, hope you’re well!

Here are the prospects of MBA, Digital Marketing and Data Science after BSc:

MBA: MBA is a two-year postgraduate management programme that focuses on human resources, finance, marketing, logistics, and customer service. The aim of this course is to help potential business leaders and entrepreneurs enhance their business and management skills.

Eligibility

• To be eligible for MBA entrance exams, you must be a graduate of a recognised university with at least a 50 % aggregate

• Alternatively, a final-year university student.

As a result, an MBA can be pursued with any bachelor's degree; there are no prerequisites. Even Engineering, Medical, and Law students pursue MBAs owing to the criteria.

Required Skill Set

Acumen for business

Solution oriented approach

Analytical abilities

Management skills

Leadership Skills

Goal Clarity

Pressure Resilience

Communication & Interpersonal Skill

Prospect of doing MBA after BSc

An MBA degree isn't just for people who want to engage in management; it can also help people who want to serve in the private, government, or public sector.

Flexibility: Today's workplace necessitates a diverse set of abilities; if you do not update yourself to reflect this ever changing world, you will be missing out on opportunities. After completing a BSc, you can pursue an MBA and understand how the dynamics of the world work. Fortunately, quality MBA courses can be completed while you are working too.

Jump Ahead of Competition: Getting an MBA after a BSc will help you advance up the corporate ladder. You will be able to develop your professional skills and business knowledge. You gain an advantage over your subordinates and have a greater chance of being promoted or going up the corporate ladder.

Diversify your options: After completing a BSc, you can pursue an MBA to gain technical and managerial skills. Let's say you have a BSc in Microbiology and want to get an MBA. Your employability has just skyrocketed until you complete your MBA. You can find professional openings in microbiology, administrative openings, and niche opportunities that require both of your skills.

For more details: MBA

Digital Marketing: The promotion of brands to communicate with potential customers through the internet and other types of digital communication is known as digital marketing. This includes text and interactive communications as well as email, social media, and web-based advertisements.

Eligibility

• There are no specific eligibility requirements for this course.

• There are no restrictions on the discipline or course of study. The course is open to students from all sorts of backgrounds.

• A graduate (cleared 10+2+3) in any discipline or equivalent from a recognised university is eligible to pursue a PG course in Digital Marketing.

Required Skill Set

Creativity & Curiosity

Adaptability

Multi - Tasker

Extrovert and Pleasing Personality

Discipline and Time Management

Analytical Mindset

Attention to detail

Research and Extraction Skills

Persuasive

Visual Story Telling

Tech Savvy

Communication & Interpersonal Skill

Prospect of doing Digital Marketing after BSc

You can easily find work as a web developer if you enjoy coding. Even artificial intelligence (AI) is now being used in Interactive Technology. Data scientists can also be useful in digital marketing because they can detect consumer trends.

Digital marketing offers a variety of opportunities for creative people. Content development and management are options for authors. The fields of graphic design and video editing are also significant in digital marketing.

However, since marketing is a competitive industry, anyone who works in it must continually learn. You must be diligent and curious, as well as have a basic understanding of how companies operate. The more adaptable and skilled you become, the more likely you are to rise through the ranks of digital marketing.

For more details: Digital Marketing

Data Science: Data Science is a field of research concerned with the gathering, analysing, and processing of various data or information in order to derive solutions. Data science is a term that encompasses a variety of scientific practises such as algebra, calculus, graphs, charts, algorithms, and computer programmes.

It is concerned with the interpretation of a large amount of structured and unstructured data using specialised expertise in order to obtain the necessary insights. These activities can only be carried out by experts with specialised expertise in the field of Data Science.

Eligibility

For PG Data Science Course:

• BTech, B.Sc. Statistics, B.Sc. Mathematics, B.Sc. Computer Science, or any other relevant degree from a recognised university with 50 % marks in graduation with suitable specialisations.

• Students must have passed the relevant entrance exam and received a minimum of 50% on the qualifying exam.

Certificate Courses:

• For certificate courses, admission to data science courses is on a first-come, first-serve basis. It can be pursued by anyone, regardless of their educational or graduation discipline.

Required Skill Set

Strong statistical and analytical skills

Clarity Thinking

Solution oriented approach

Critical thinking & Numerical Skill

Curiosity & Inquisitiveness

Pressure Resilience

Communication & Presentation skills

Strategic business intuition

Expertise of statistics concepts such as probability, skewness, percentiles, and other fundamentals is needed.

Prospect of doing Data Science after BSc

Data Science courses are available after you complete your B.Sc. or some other specialisation.

Demand for data scientists has risen in recent years, as has the high salary on offer. Thus, after completing their B.Sc., the majority of people choose this route. The best part about this course is that you can take it even though you have no prior experience with coding.

As a result of making the course more accessible to everyone, its popularity has grown. At present, it is an emerging career option.

For more details: Data Science

Hope this information helps!

All the best!