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Career Options in Language courses

Career in language coursesReading Time: 5 minutes

All students upon passing 12th standard apply for colleges for graduation. Many of us due to want of getting a better college apply for courses which may not be our first choices. Career in language courses are for those who are interested in knowing cultures other than their own. They essentially bridge gap between different entities such as groups, states, nations. 

As most people would agree, languages courses barring few, major chunk of language courses are relatively not that popular when it comes to career options. This is not true. There exist an ocean of opportunities, point is one has to look beyond horizons. But, before one dwells into career options in language courses. One should know difference between language and dialect. Simplistically, dialect evolves from on or maybe more languages. Hence, dialects are subsets of languages.

Broadly, language courses for graduation and post graduation can be divided into 2

  1. Indian languages
  2. Foreign languages

 

Admission to these courses is conventionally decided by cut offs. Some may provide for entrance test. For example, CATE of Delhi University which was for undergraduate program in English. However, Ministry of Human resource development has scrapped it. So you will not expect it this year (2019) on wards.

These program courses are also available for as part time courses and short term courses. 

 

Some of the career avenues one can take after graduation/certification in Language courses, 

  • Language Translator or Interpreter ,

As an interpreter you get to translate or interpret languages. You are employed in embassy or govt office for translation works. You would assist foreign dignitaries in conferences, summits and Bilateral meetings. Especially if you opt for foreign languages you can easily get jobs here.

Earn modestly about 25000 INR monthly

 

  • Lectureship,

You can apply for Lectureship in colleges. It pays well and is a respectable career. You get to start as assistant professor in college. Some colleges may take you on ad hoc basis or contractual. 

Best way to become a lecturer is to clear NTA (National Testing Agency) conducted UGC exam which provides for Certification for Lectureship (Assistant professor). Then one can apply to various colleges for teaching post.

Earning is 50,000 – 60,000 INR monthly

 

 

  • Linguistic research,

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Can go for research in your language course. There are scholarships given for research work. Usually a modest amount is given from colleges or institution funding your research work with accommodation.

UGC provides scholarships for about 84 subjects. These are JRF (Junior Research Fellow) scholarships, which enables a research grant of about 28,500 (30k) monthly. One has to clear-cut off of JRF which is higher than Assistant professor’s cut off. Students who have opted for classical and regional languages of India have greatly benefited . 

Sahitya academy (National academy of letters) provides for awards and scholarships for scholars and researchers in many Indian languages.

 

 

  • Translation of historical works,

In such jobs,  a person who is proficient in a language is employed for translation of important and historical. Such type of work requires good command over language in both. You have to have good knowledge of script/s. Your translated works are then published under various heads.

However, most of the work is usually done by researchers and proficient individuals of the field.

Earning are usually higher comparable and even more than lectureship.

 

 

  • Translation jobs in Businesses,

Many companies have expanded. These companies are registering their presence globally. Since many are establishing themselves on digital platform. Much of work is required to translate from foreign languages into natives. Some companies require one to translate dictionaries for work. Example Arabic to English.

Hence, many companies require individuals with specified criteria. These jobs are of fixed term and are usually offered to people who work as freelance workers.

Job salary is roughly around 25,000 INR and above, monthly.

 

  • School teacher,

Many schools, including both private and govt schools provide for teaching positions in foreign and regional languages. School teaching jobs are modest paying and time efficient jobs. It provides for good amount of time for leisure activities. 

In many schools there is the requirement of French, German, Punjabi, Sanskrit and many others languages. A graduation in any of the languages can help get a job here. Competition is relatively easier than Lectureship and Research.

Can also provide tuitions and work in institutions like Max Mueller bhavan (for German).

Salary can be anywhere between 30,000 INR – 40,000 INR.

 

  • Jobs in embassies both Indian and abroad

Managing information and day-to-day office related work is part of your work profile. You are also taught public relations as you would be required to work with various types of persons. 

Jobs in embassies are rated well and regularized. They tend to offer more money than conventional jobs in this field. You would also get opportunity to go abroad if required.

Salary in variable but offerings are good. Starts from roughly 35,000 INR monthly.

 

These were some of the career options which can help you land a job if you have done language courses. There are other fields such as journalism (national or regional), public relations and mass communication (perhaps for post graduation or certifications) if you are language courses student.

Read also Career in writing

Goodluck !!!

 

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Hot career: Data Science, What is it, actually ?

Reading Time: 3 minutes

I am sure you have heard this before that data is the new oil. Data is used by governments to provide better services to its citizens. The private sector is already using it for product analysis, consumer behavior, patterns and insights that help uncover details that make a company more efficient and targeted.

What is data science ?

Data Science, if you take it literally you are in the right direction. It refers to Science of data. To put it in layman terms it is scientific study of data. Now, this would involve statistics and math. Data is voluminous and Gargantuan. Hence we need statistics to cut short and make sense of it.

The word data science has been there around half a century. In past 7 years, it has gained much popularity owing to shift in business process and sophistication. Too late to say but the world has gone digital. We leave our digital footprint everywhere we go. Everything we do on digital landscape gets recorded somewhere in digitally.

Mountains of data are stored in servers located somewhere. The data is collected and processed to discover patterns which is called data mining. Data Science goes many steps ahead and uses Mining, Predictive Visualization, AI (artificial intelligence), Visualization, Math and Statistics.

Components of data science 

Ideally, a Data Scientist should be good when it comes to being analytical.

  • They should be good with numbers, computer science and statistics.
  • Data Scientists are essentially problem solvers of any business organisation.
  • They offer insights and solutions to company to make it profitable or cost effective. (How, you may wonder but that’s later in the article)

 

Much of the work of Data scientist is that of a researcher. Therefore a data scientist would take input in the form issues/problems of an organisation and collect data both in structured and unstructured form. However, collecting data in unstructured form poses a challenge. The unstructured data is any data which is induced through us (humans) for example it can be our comments on social media to our online shopping behavior.

A diagrammatic representation of components :

                                                                                                                                                                                                                                                   credits kisspng

It is divided into various levels where input is categorized as taking a problem and designing a hypothesis. The next level involves collecting data which graduates to upper level increasing the role analysis and research. A diagram below shows requirement and level of sophistication when it comes to Data science.

As you can see that data scientist work conforms to Analytics and Testing/experimentation. For structuring ‘data’ engineers are required. Obviously these data engineers are computer science/IT engineers. Notice that machine learning and AI are performed ML engineers and Research scientists. Most importantly, this forms the pyramid of data science.

A career here is very effective in terms of being a fruitful career option. In context of India in terms of demand there are not many who have this skill or certification. Hence, Data Science’s prospects shines brightest as whole world has gone digital and is increasingly becoming automated. Consequently increasing dominance of computer science and data enormously.

Data Science as highlighted by Mckinsey’s report had outlined Deficit in Data Analyst jobs pointing towards a demand in 2011. WEF(World Economic Forum) mentions it as dominant career in its Future of Jobs report 2018. Naturally then a career in data science is set to be a hot career of the future.

For a detailed or comprehensive understanding refer this