Sample Homework on Human Resource Management

Question 1

The ADA creates a protected class called “qualified individuals with disabilities.” Discuss what this phrase means and how one qualifies for protection.

Many were times that people with disabilities were often discriminated and overlooked in employment opportunities, and those who were lucky to get employed suffered under the weight of workplace discrimination. This led to enactment of legislations such as the Americans with Disabilities Act, which is commonly referred as ADA. The ADA is a piece of legislation that came into force on July 26, 1992. According to Veres & Sims (1995) the American with Disabilities Act was designed to prohibit any form of discrimination against individuals with any physical or mental disability. This Federal law outlaws any form of discrimination or prejudice that persons with disability may be subjected to in private or public places. Blanck (2000) observes that ADA is akin to civil rights laws that protect individuals against prejudice of race, religion or ethnic backgrounds. Therefore, the American with Disabilities Act ensures that persons with disabilities enjoy equal opportunities in jobs, government services, public participations and other spheres of life.

 

The provisions of ADA created protected class of American citizens called “qualified individuals with disabilities.” Veres & Sims (1995) explain that this class of citizens constitutes disabled individuals who are willing and qualified to work despite their impairment, either physical or mental that has significantly limited their major life activities such as speaking, seeing, hearing or engaging in manual tasks. In order to give disabled individuals an equal opportunity in the workplace, the ADA Act stipulates that an employer should make adjustments in the employment practices to provide disabled individuals equal opportunities. These adjustments, under provisions of ADA are termed as reasonable accommodation and are changes or modifications done to a job or work environment to ensure that people with disabilities work successfully. Failure by an employer to provide reasonable accommodation to individuals with disabilities, Veres & Sims (1995) assert that qualified individuals with disabilities have a right under ADA to seek adjustments for employment practices like hiring process and on the job.

Question 2:

Compare and contrast the difference between FMLA interference and FMLA retaliation. Additionally, articulate the requirements for an employee to be covered under FMLA. Lastly, if an employer desires to provide FMLA protection for employees, but the employer does not have the requisite number of employees to qualify under the statute, can the employer nevertheless decide to provide FMLA protection to its workforce? Why, or why not. Explain in full.

The Family and Medical Leave Act (FMLA) is a labor law that came into force on August 5, 1993 after it was signed into law by the then President Bill Clinton (Aitchison, 2003). The law requires that employers to grant their employees 12 weeks of unpaid, job-protected leave on grounds  such as caring for a sick family member, medical reasons or to care for a newborn child or adopted child. Besides unpaid leave, an employee who is on leave under FMLA is entitled to carry-over of health benefits and other benefits during the leave and resumption of his job position on return from the leave. For an employee to be eligible for FMLA he must be employed by a company with at least 50 employees within a radius of at least 75 miles, he must have worked for the company for at least one year or having worked for 1250 hours within the past 12 months (Bruce, 2011; Walsh, 2009). On the other hand, an employer cannot provide FMLA protection to his employees if he does not have the requisite number of employees, which is at least 50 employees; however, some states have lowered this threshold. Walsh (2009) continues to observe that under FMLA, an employee can take intermittent leave as long as it amounts to 12 weeks.

 

According to the Family and Medical Leave Act an employee should not be subjected to any form of victimization, interference, discrimination or retaliation for having exercised his rights under the act, however, in some instances, employers victimize or discriminate against employees for exercising their rights under FMLA Act. The provisions of FMLA addresses two forms of legal redress that employees can use to protect their rights under FMLA and include FMLA retaliation or FMLA interference. The FMLA interference is a provision that outlaws employers from interfering or restraining employees enjoy benefits or entitlements under FMLA.  In this case, an employee ought to show that he was lawfully entitled to FMLA entitlements but was denied. FMLA retaliation, on the other hand, is a provision that makes it unlawful for an employee to discriminate or terminate employment of an employee who opposes practices that contravene FMLA Act (Aitchison, 2003).

References

Aitchison, W. (2003). The FMLA: Understanding the Family and Medical Leave Act. New York: LRIS Publications.

Blanck, P. D. (2000). Employment, disability, and the Americans with Disabilities Act: issues in Law, Public Policy Research. New York: Northwestern University Press.

Bruce, S. (2011). Family and Medical Leave Act.  Retrieved from, https://hrdailyadvisor.blr.com/category/fmla/

Veres, J. G. & Sims, R. R. (1995). Human resource management and Americans with Disabilities Act. New Jersey: Greenwood Publishing Group

Walsh, D. J. (2009). Employment law for human resource practice. Ohio: Cengage Learning

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Data Science: is it a Distinct Field?

Data Science: Harnessing Computing Power to Redefine Statistics

Few years ago, data science was an obscure term to many, even to those who work with data. A probable response would be “that’s statistics”. Fast forward to 2015 and everyone is talking about the new kid called data science. Whether it is a buzzword or the latest discipline we all agree it is the hottest thing at the moment. Glass door earlier this year named data scientist as the top job of 2016. The demand for data scientists is expected to see 1700 job openings and a lofty average pay of $116k this year. No wonder, the Harvard Review refer data science as the “sexiest job of the 21st century“.

The moment the term data science is mentioned, most of us think of statistics. So, what makes data science different from statistics? Or is it a spruced term that refers to statistics? Thinking data science as a related field of statistics is quite right. According to the American Statistical Association statistics is defined as “the science of learning from data…” Therefore, you expect most learners to think data science as a re-brand name of statistics. Outside academia, data science has not escaped ridicule of internet humorists. One humorist is quoted on twitter “A data scientist is a statistician who lives in San Francisco” …….Big Data Borat, another twitter humorist is quoted “data science is statistics on a Mac”. Other pundits in their own wisdom to distinguish statistics from data science opine that a data scientist is a statistician who is better in programming than any software engineering and a software engineering who is better in statistics than any statistician. Though, the statement may look like a joke, it has element of truth.

Data science is it any Different from Classical Statistics?

What differentiates statistics from data science is fairly complicated, with deep roots in computing. During pre-computer eras, statistics played a key role in testing empirical experiments of small samples. The advent of super computers and personal computers heralded the birth of big data and large databases. The humongous amounts of data could not be manipulated and analysed using conventional statistical methods.  Thus need for methods that are fast, accurate and efficient in dealing with large data and databases. Data science, therefore, is a response to new computing power. According to Peter Naur in his referred publication “Concise Survey of Computer Methods” data science is not a discipline concerned with analyzing data like classical statistics. It is wholesome manipulation and management of data. These include cleaning, processing, storing, manipulating and analysis of data.

As the world grew in complexity and computing power increased, there was need to develop sophisticated tools to deal with vast data sets. Researchers were increasingly using data sets, which required advanced manipulation techniques. Early inventors of data science borrowed heavily from machine learning and database management to create tools for manipulating these vast datasets. Consequently, it was now easier to predict on erratic markets, consumer behavior and analyze clinical trials.

Statistics, as a standalone field, has not dramatically changed in response to increased computing power. The field continues to rely on introductory statics, probability theory, hypothesis testing and computing. This has not augured well with some statisticians who feel that the field should align to changing world. William Cleveland, a renowned statistician, in 2001 advocated for the renaming of statistics to data science. The new field, according to him, would place greater emphasis on computing and real data analysis. Nate Silver, on the other hand, argues that data science is no different from statistics. The well known statistician who is famous for correctly predicting the 2012 US Presidential election believes that data science is a “sexed up term for a statistician”. Nate strongly argues that data science is a fad that is just patronizing, and that data science is a replica of what statisticians have been doing over the years. To him it is a buzzword whose time has come and it will wilt down. While it is true that no proper definition has been postulated to prop definition of data science, it is difficult to refute that data science has redefined the way we deal with data.

Nathan Yau a statistician and data visualizer states that data scientists unlike statisticians have three major skill sets.
Statistics and machine learning
Visualization
Programming skills

Research Proposal Writing Services UK, US, CA

Research Proposal Writing Services UK, USA, CA

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Economic consequences of Britain exiting (BREXIT) single market of European Union

Abridged essay: “Economic consequences of Britain exiting (BREXIT) single market of European Union”

Economic consequences of Britain exiting (BREXIT) single market of European Union

As the June 23 plebiscite nears questions abound on the post exit ramification. The four decades Britain has been in the economic bloc has presented benefits and disadvantages to the economy. Economist agrees that EU membership has created more trade benefits than diversion. It has also boosted investments, increased competition, enhanced innovation and specialization, making Britain competitive.  Similar studies show that EU membership has boosted and diversified British economy. The Brexiteers, on the other hand, claim that the membership has been damaging to the economy. And it is prudent to leave the union in order to have most command of the economy. The anti-Brexit camp fears that most of the benefits Britain enjoys through membership stand to be wiped out.

Both pro and anti-Brexit crusaders agree there is economic uncertainty post EU exit. Even economics modelling cannot predict full economic ramifications of Britain leaving the EU. Economists agree that in the short term after leaving the EU, Britain will suffer economic losses. As a result of transition and uncertainity over Britain’s relationship with other EU countries, this will damage investments and confidence. According to Schoof, Petersen, Aichele & Felbermayr (2015) if Britain exits the European Union, it will see reduced exports and expensive imports. The scholars posit that in 2030, depending on trade policy isolation UK’s real gross domestic product will be lower by between 0.6% to 3% than if the country remained in the bloc. Given the dynamic effects of economic integration on innovation and investments, Britain may incur GDP losses of more than 14%.

Britain exit from the European Union is counter economic. After leaving the trading bloc, United Kingdom will have to renegotiate trading pacts. This uncertainty over future trade arrangements has already negatively dampened the Pound. Confidence in investments is also waning; current account deficit is also widening putting financial stability in limbo. Besides trade, other economic channels that will see negative impact include: foreign direct investments, financial services, budget, industrial policy and liberalization. Britain stands to incur economic losses, both short term and long term, if it exits the trading bloc.

Trade

According to Giles (2016) United Kingdom is closely economically tangled with the EU. It is estimated that 55% of Britain’s exports go to EU markets. Likewise 50% of imports in the Britain come from the EU member states. Trade between UK and the European Union has been increasing over the past 40 years. If United Kingdom leaves the union, there will be lower trade activities and increased cost of trade. Economists argue that the biggest GDP losses post EU exit will arise from trade.

Freyer (2009) agrees that expected decline in cross border trade will hamper productivity. Weakening pressure from international competition will make British companies to de-emphasis on investments and innovation, which will hamper productivity. Brexit will cause trade opaqueness, Felbermayr & Groschl (2013) observe that Brexit will lead to a real GDP per capita of between 2 percent and 14 percent depending on trade policy isolation.

Schoof et al (2015) argue that in case of Brexit, Britain will forego benefits from ongoing trade negotiations close to ratification with overseas countries (Canada, USA, Vietnam, Japan, Singapore, Idia, Malaysia etc). Britain will be required to negotiate a fresh with these countries since they will no longer be EU member state. Expected long term GDP losses from foregone trade integration will range from 1.4 percent to 7.5 percent. The severity of the losses will depend on level of economic and trade isolation.

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References

Felbermayr, G., & Gröschl, J. (2013).  Natural Disasters and the Effect of Trade on Income: A New Panel IV Approach. European Economic Review 58, 18-30

Freyer, J. (2009) Trade and Income Exploiting Time Series in Geography, NBER  Working Paper 14910, Cambridge, MA

Giles, C. (2016, February 22) What are the economic consequences of Brexit? Financial Times. Retrieved from: https://next.ft.com/content/70d0bfd8-d1b3-11e5-831d-09f7778e7377

Schoof, U., Petersen, T. Aichele, R. & Felbermayr, G. (2015) Brexit-potential economic  consequences if the UK exits the EU. Policy Brief #2015/05. Retrieved from: https://www.bertelsmann-stiftung.de/fileadmin/files/BSt/Publikationen/GrauePublikationen/Policy-Brief-Brexit-en_NW_05_2015.pdf

Accounting literature review writing Service

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How to Develop Dissertation Topic Ideas

How to Develop Dissertation Topic Ideas

How to develop dissertation topicsStudents in their final year of study are required to write a dissertation, thesis or capstone project. This research papers are used to examine candidates understanding of the field. Writing these advanced academic papers start with developing a researchable topic. The topic should be brief, concise and researchable. It should also set boundaries of the study by localizing the research.
Most students do not know how to develop dissertation topic ideas for their studies. They hire dissertation writers to develop research topic for their papers. A dissertation paper is as good as its topic. Same case applies to thesis, capstone and research paper. Since a topic guides and dictate quality of research, it is imperative to learn how to develop good dissertation topics. We will highlight the guide our professional dissertation writers use to develop appealing topics for your paper. We will also discuss some of the topic ideas that students can explore when writing dissertation or thesis.

Tips on How to Develop Dissertation Topic Ideas

Factors to consider when developing research topics

Before embarking on writing a proposal, you need to develop a set of dissertation topics. From the set you then choose the most suitable topic for research based on set of factors. These factors include objectivity, research ability; contribute to the body of knowledge; measure ability; solution oriented and localization. The topic should also clear and concise. We recommend the title to be between eight words and ten words long. A title that is more than twelve words becomes ambiguous and cumbersome to readers. Remember always to keep the title interesting and captivating to the audience.

Researchable and measurable

Tips on how to develop dissertation topic helpA good research topic for dissertation, thesis or capstone should be researchable and measurable. To make a topic researchable never pose it as a question. Research studies are conducted to improve understanding on a given phenomenon; therefore a good research topic should be open ended. Suppose we seek to study whether level of education determines salary levels in Walmart. And we pose this dissertation topic Does salary levels in Walmart influenced by level of education? If the answer is no then you got no study. Leave questions for your hypothesis and research questions.

A topic is measurable if it has variables. Variables are categories or phenomena that a researcher is keen to measure. There are three types of variables namely independent variable, dependent variable and, in some cases covariate. A good research topic should at least have two variables independent variable and dependent variable.

  • Independent variable: This variable is sometimes referred to as explanatory or predictor. This is a variable in an experiment that is not affected by other variables in the system. It explains changes in the outcome variable in a causal effect relationship such as regression analysis. In a study to investigate relationship between level of education and salary, level of education will be the independent variable. As we know level of education in our system will not be affected by age, gender and other factors. However, it will determine how much a subject in our research study will earn.
  • Dependent variable: This variable is the outcome of the experiment. It is changed by other factors/variables in the system. In a regression analysis, dependent variables are denoted (Y). In our earlier study to investigate relationship between level of education and salary, we expect salary to be influenced by level of education, age, gender and other factors.
  • Covariate: Most social science experiments omit this important variable; as a result negating accuracy of research. Covariate is a secondary variable that has direct relationship on predictor and outcome variables. This variable is an independent variable with confounding or interacting effect in the study. In our earlier study to investigate relationship between level of education and salary, we expect salary to be influenced by level of education, age, gender and other factors. Gender will be our covariate as we know that men tend to earn more than women. Another factor to control is the number of years out of college. People tend to earn more the longer they are out of college. Unlike other studies, inclusion of covariates in studies tends to be more accurate since it minimizes unexplained variations in a group. In econometrics, covariates are referred as control variable

Objectivity and contribution to body of knowledge

The essence of writing dissertations, capstones, thesis and research paper is generation of new knowledge. To gain top marks in your research study you need to justify selection of topic. Saying “no one in the past has done this study” is not a reason enough to warrant you burn kilos of calories going through volumes of theories. As you know there are plenty of studies yet to be done. And most don’t need to be done. Justify why the research is important, the knowledge gaps it will fill and contribution to society and body of knowledge.

Other factors worth considering when developing research topics

Before you are convinced that you have chosen good research topic for dissertation, thesis or capstone; it is important to run small checks on the following factors.

  • Availability of data and literature: Before embarking on kicking the writing process, make sure there is enough information relating to your research topic. This will enable you write an articulate literature review and discussion.
  • Emergent issues: Due to dynamism in research and technology, some topics are very fluid. It is important to know what is happening in your topic of study. This will enable you update your research accordingly.
  • Originality: It is important to ensure uniqueness of your research topic. Ensure that there does not exist a study on a similar topic as the one you have chosen.

Students who follow our guide on how to develop dissertation topic ideas have easy time commencing their research. Professors and lecturers are impressed on first glance on the topic, giving the student go ahead to conduct the study.

Professional , Thesis Capstone and Dissertation Topic Help

Professional/ capstone/ thesis dissertation topic helpAt Expert Writing Help you can get professional thesis, capstone and dissertation topic help for $20 only. We will provide you with five topics from which to select from. In case you have a research topic for dissertation, thesis or capstone but unsure of its suitability, we can offer you topic rewriting help to make it objective, researchable and measurable. Below is a set of free topic ideas developed by our professional thesis/capstone/dissertation writers.

  1. Economics dissertation topic idea: Long term economic, sociological and political implications of Britain exit (BREXIT) from the European Union
  2. Management thesis topic idea: Airline industry analysis using Porters five forces model, a case of Southwest Airline
  3. Public health and nursing capstone topic ideas: Health crisis: Zika Virus and the rise in microcephaly and Guillin-Barre syndrome in Brazil
  4. Aviation capstone topic ideas: Investigating the future of green aviation; a look into technology, design and operations of Qantas airline
  5. Marketing thesis topic idea: Effectiveness of social media marketing over traditional marketing campaigns at John Fluevog Boots & Shoes, Sony & Dell
  6. GIS thesis topic idea: Utilization of spatial data analysis and remote sensing to investigate climate change in Saudi Arabia
  7. Geography research topic idea: Trend analysis of water levels during different months of the year at Lake Eucumbene Dam, Australia
  8. GIS research topic ideas: Investigating geographical distribution of primary health facilities in Oman using GIS data.
  9. Finance thesis topic ideas: Effect of meltdown in global oil prices in Saudi Arabia: Trend analysis of key economic indicators between 2010-2015
  10. Accounting dissertation topic ideas: Beyond financial reporting: impact of adopting sustainability reporting on business strategy of UK companies, a case of British Petroleum.
  11. Biology thesis topic: investigating relationship between vaccination and autism in infants in Ontario, Canada
  12. Sociology dissertation topic: Investigating cause of different sexual behaviors; homosexuals and bisexuals: choice or genetic disposition

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Best College Majors for Hottest Careers in 2020 and Beyond

Best College Majors for Hottest Careers in 2020 and Beyond

Best College Majors for Hottest CareersAre you a college student unsure which major to specialize? Some of the factors to consider when deciding college majors is hiring prospect and pay. Some courses of study offer fat paychecks upon landing your maiden job. While some careers become financially rewarding as you progress along career path. Empirical studies show that college degree offers opportunities in financially rewarding careers. With Bachelors degree holders earning 79 percent more than high school diploma graduates. Therefore, just being in college offers you a grim of hope for a better salary. But do you know that different college degrees offer different pay packages upon employment? Careers are fluid, and what used to be hot may not necessary entice the labor market 10 years from now. Similarly what was the hottest career in 2015 may lose its luster in 2020. Future pay is determined by multiplicity of factors; economic, social, political and environmental. In our blog Best college majors for hottest careers in 2020 and beyond, we will highlight jobs with the highest pay and career prospect now and in the near future.

Recent US jobs data reveal that the job market is on a steady rise. According to data from Economic Modeling Specialist Firm as at February 2016 unemployment was slightly below 5%. The market research firm noted that US companies, in the last 3 month, on average had recruited 284,000 employees. Though the numbers are encouraging to college graduates, the reported growth is not being felt across all the industries. Some industries are Best College Majors for Hottest Careersexperiencing rapid growth, absorbing more graduates and offering better pay. Before you choose your college major, it is advisable to understand the labor market trends, future prospects in different industries and your skills and talents. Best college majors for hottest careers in 2020 and beyond will seek to offer the former. Together with knowing your skills and talents you will be set for a fruitful career.

Best College Majors for Hottest Careers in 2020 and Beyond in the USA

There are numerous labor market research websites and publication offering this vital information. For those undecided on their college majors, the US News & World Report listed 100 Best Jobs of 2016 will offer a good beginning. The list includes careers that offer good remuneration, employment opportunity, job security and satisfying work/life balance. If you are studying technical subjects such as information systems, data science or software engineering you need to check 10 toughest jobs to fill for 2016 published by Forbes. TBest College Majors for Hottest Careershe list includes jobs that are in high demand for top candidates. These careers offer excellent compensation, less competition and high market demand. Finance, banking and economics students or those inclined to work in Wall Street need to check out a publication by Bloomberg Business. Though in 2015 Wall Street dominated headlines with unpleasant news including job cuts and shrinking bonus, some pockets of opportunities were created. Falling oil prices, Fed rate hike and collapse in junk rated bonds are some of the factors that has spurred employment opportunities.  You can read Wall Street’s Most in Demand Jobs for 2016 to check what once booming industry has to offer.

Best college majors you need to study now and beyond

Best jobs offer excellent remuneration, match our abilities and talents, offer career advancement opportunities, experience high demand and hold bright future employment prospects. Not forgetting they are enjoyable, poses little stress and provides balanced work-life. Best college majors for hottest careers in 2020 and beyond present college students with a list of careers that offer this mix of attributes. It is a must read to students who are undecided on what courses to study in college. For those who wish to change careers, this information armory will offer you the needed ammunition to jump start your new career life.

Nursing

career in nursingAre you compassionate and caring person with strong inclination to medicine related courses? Then you need to consider nursing as a career. Demand for nurses is expected to rise like other health care professionals. With an aging population, increased cases of lifestyle diseases and number of insured people, future outlook for registered nurses and practitioners cannot look any better.

To become a registered nurse, nursing students are required to study chemistry, anatomy, microbiology, biochemistry and nutrition among other science courses. In addition to taking supervised clinical experiences in surgery, psychiatry and pediatrics. Right out of college you expect to earn $56,9000 to $71,650. With such pay, it is worth burning the midnight oil and staying up all night writing nursing assignments and research papers. Visit our website to learn more how you can improve your grades with our nursing writing services online

Actuarial mathematics

careers in actuarial mathematicsThis relatively new field deals with calculation and analyzing cost of risk and uncertainty. These mathematics geniuses are in high demand, and you will find them working in insurance, pension and finance industries. Bright future outlook is begged on increased need for their services necessitated by increased financial regulations and new healthcare laws. You will need high mathematical aptitude and advanced business skills to practice this exciting career. Expect to take advanced courses in calculus, economics, probability and statistics, risk theory, financial mathematics among other highly numerate courses. If mathematics teacher is not your favorite, stay away from this course.

To become a certified actuary you will be required to sit for SOA, CERA or FIA exams and CPDs. Going by the latest compensation report the many sleepless nights you will spend studying for this degree will be well compensated. Entry level actuaries earn $100,000 while the more experienced take home $150,000 per year. This number crunching field is one of the highest paying careers in the world. We expect better prospects as demand for actuaries grow to other non-traditional areas such as healthcare and manufacturing. The recent Global Financial Crisis has created demand for actuaries due to their skills in analyzing and managing risks.

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Civil engineering

civil engineersCareers in engineering offer well paying jobs. For example petroleum engineering, which was not included in the list, is among the top earning field in the world. We exempted this field from our list due to the small size of the job market- with less than 39,000 engineers in the USA- and dwindling fortunes in the oil industry. Civil engineers, though, face positive prospects given nature of work. As more countries expand their infrastructure, we expect high demand for civil engineering professionals. Civil engineers design and supervise complex construction works that include road and rail networks, sewer systems, and airports among other large projects.

You need to be gifted in mathematics and physics to tackle this tough field. Among the subjects you will be required to study include geography, thermodynamics, structural analysis, fluid mechanics, engineering mathematics and statics. Most of the assignments are group projects and field work. Entry level salary starts at $75,000 and can peak at $100,000 for the more experienced civil engineers.

Finance

Finance professionalsThe recent global financial crisis resulted to most Americans developing distrust of financial professionals. However, most college students would not mind occupying Wall Street jobs despite societal apathy. Demand for finance professionals is expected to grow steadily driven by new products, complex investment portfolios and financial regulations. Compensation package is not expected to lag behind as entry level salary will peak at $78,000 per year. With managers and C-suite executives expected to earn north of $160,000 without bonus.

We expect fastest growth in job and salary to occur for personal financial advisers as top banks scale down on trading business. Other areas expected to grow include oil and gas bankers and restructuring bankers. The demand will be fueled by rising debts, plunging oil prices, Fed rate hikes and widening spread on high yield bonds.

College students interested in a job in Wall Street need to study economics, statistics, financial markets and calculus, besides taking units in accounting, investments and management.

List of the best college majors for hottest careers in 2020 and beyond

best college majors in USAThe list include: computer science, management information systems, software engineering, economics, statistics, civil engineering, nursing, finance and actuarial mathematics, GIS

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