With a data science degree, you can explore options in a wide range of fields, including engineering, statistics, and business. Working as a data scientist can be intellectually demanding, analytically fulfilling, and it can position you at the forefront of new technological advancements. Due to big data’s continued importance in the decision-making processes of enterprises, data scientists are becoming more prevalent and in demand.
You’ll study how to appropriately gather, manage, and use data in a degree program in data science, which will eventually teach you how to use it to make judgments. Computer science, statistics, mathematics, business, and social sciences are all included in this degree program’s interdisciplinary field of study. You might examine data and come up with complex solutions on your own or in groups during your studies.
The World Economic Forum’s Future of Jobs 2020 report ranked this profession as having the highest rate of demand growth for qualified data scientists, and this demand is only expected to increase. Additionally, hiring data specialists is a key priority in a number of sectors, including technology, financial services, healthcare, information technology, and energy.
Data scientists in the US make an average of $135,000 per year, depending on their education, training, and experience, according to the Robert Half Salary Guide. Accordingly, the time and effort you put into getting your degree could pay off in the future with a position that is in demand and pays well.
What do students majoring in data science study?
You will take classes in computer science, mathematics, and big data as a data science major. Taking classes in storytelling, public speaking, and graphic design could also be beneficial. Through this curriculum, you will develop the knowledge and abilities required to gather, purify, and visualize data as well as to create algorithms and spot trends.
Typical Curriculum
The following courses, which may differ based on your school of choice, are likely to be offered to you as a data science major:
Data science fundamentals, data mining, and algorithm analysis are all included in data science courses.
Courses in algebra, discrete mathematics, probability, statistics, linear algebra, and calculus 1 and 2 Programming languages, operating systems, data structures, and artificial intelligence are all covered in computer science courses.
Data Science Majors Acquire Crucial Skills
To be successful in your field of data science, you’ll need to develop a wide range of talents. The best place to start learning about the subject is by analyzing data. More abilities that you might acquire during your program and use in your future profession in data are listed in the list below:
Five Favored Data Science Professions
With a data science degree, you can explore options in a wide range of fields, including engineering, statistics, and business. In order to save operating expenses, enhance decision-making, upskill personnel, create new goods and services, and other goals, organizations want to use data. By collecting, analyzing, and succinctly presenting massive data to decision-makers and stakeholders, you will contribute to that process as a data scientist.
These are the top 5 jobs in the data science sector, in no particular order:
One Data Scientist
For corporations and organizations, you will collect, purify, and organize a lot of data as a data scientist. You could get employment with large corporations, small firms, and other kinds of businesses. A data scientist makes, on average, $122,650 a year in the US.
A second Machine Learning Engineer
The systems that use machine learning are built by machine learning engineers in the background. In order to monitor computerized systems and applications, one would develop data funnels, put software to use, and conduct testing. A machine learning engineer in the US makes, on average, $123,530 a year.
Data Architect
Aside from designing applications for various platforms and building databases, data architects also have to make sure that data solutions match performance standards. In the United States, this profession carries an average pay of $153,274.
Data Engineer
If you want to play several different positions inside an organization, enroll in a data engineering program. Before sharing your conclusions with managers and other team members from the management, marketing, and engineering teams, you’ll process data in batches and in real-time. Building and maintaining data pipelines to provide access to information for other employees who require it may be among your other responsibilities. As a data engineer in the United States, you may earn an average salary of $113,991.
The Statistician
Choose a major in statistics if your analytical abilities best describe who you are. By gathering, analyzing, and interpreting data, a statistician can identify patterns and relationships in data sets to assist an organization in making wise decisions for various departments. Every day, you’ll use your strong quantitative skills, but you’ll also create procedures for gathering information and disseminating it to the company’s stakeholders. This position pays an average of $82,215 per year in the US [5].
Is a data science Major Right for Me?
Numerous industries, especially the government sector, depend heavily on data science. Data scientists will have some of the fastest job growth over the upcoming ten years, according to the US Bureau of Labor Statistics.
Taking a data science major has some advantages, such as:
Benefits
Data science job opportunities are expected to increase by 31.4 percent through 2030, according to the US Bureau of Labor Statistics. Business owners and executives will likely greatly value your data science expertise in order to use big data within their firms, which will increase your professional value.
The profession of a data scientist is one that lends itself to portability and flexibility, allowing for the possibility of working remotely and maybe more freedom in terms of where you choose to work. Options for education: Many of the disciplines covered by the data science degree have educational opportunities available both on-campus and online.
Time: A bachelor’s degree can usually be obtained in four years of full-time study, and any graduate work requires an additional two years. Use internships and professional certificates to upgrade your skills and enter the data science workforce while you are still in education.
Continuous learning: As new ideas in the area are introduced throughout time, your skill set will change as a data science major. In order to remain relevant in your profession after earning your degree, you might enroll in extra courses or pick up new skills.
GET Link- Data visualization, data manipulation, data mining, big data, artificial intelligence, and devops are examples of technical capabilities.
- Workplace competencies include project management, cooperation, presentation, critical thinking, data interpretation, and research.
- Algorithms, statistical models for machine learning, and math
- Languages for programming (C++, Python, Java, Perl, SQL), and SaaS
